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deep-significance - Easy and Meaningful Statistical Significance Testing in the Age of Neural Networks [article]

Dennis Ulmer, Christian Hardmeier, Jes Frellsen
<span title="2022-04-14">2022</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
A lot of Machine Learning (ML) and Deep Learning (DL) research is of an empirical nature. Nevertheless, statistical significance testing (SST) is still not widely used.  ...  Here, we provide an easy-to-use package containing different significance tests and utility functions specifically tailored towards research needs and usability.  ...  deep-significance.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2204.06815v1">arXiv:2204.06815v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/zblb6acninbplntpjyfn7btwuu">fatcat:zblb6acninbplntpjyfn7btwuu</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20220508100803/https://arxiv.org/pdf/2204.06815v1.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/bc/ef/bcef143c672029431c316fe40235671879827aa7.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2204.06815v1" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

Significance, relevance and explainability in the machine learning age: an econometrics and financial data science perspective

Andreas G. F. Hoepner, David McMillan, Andrew Vivian, Chardin Wese Simen
<span title="2020-12-03">2020</span> <i title="Informa UK Limited"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/vuh4j4knprh45ivdvi2babew3q" style="color: black;">European Journal of Finance</a> </i> &nbsp;
Proponents of deep learning (i.e. neural networks) value computational efficiency over human interpretability and tolerate the 'black box' appeal of their algorithms, whereas proponents of explainable  ...  European Journal of Finance 25 (17) : 1627-36.] work on significance and relevance as assessment critieria in econometrics and financial data science to contribute to this debate.  ...  Acknowledgements We are very grateful to Chris Adcock for providing us with the opportunity to empower and develop relevant research using methods from the field of financial data science and econometrics  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1080/1351847x.2020.1847725">doi:10.1080/1351847x.2020.1847725</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/knrm5rvymrf2dp5ucde4gumzxu">fatcat:knrm5rvymrf2dp5ucde4gumzxu</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210716214801/https://dspace.stir.ac.uk/bitstream/1893/32112/1/Hoepner-etal-EJF-2021.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/5a/11/5a1156ee4131d03edc2cc58b16e4d284d056fdf1.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1080/1351847x.2020.1847725"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> tandfonline.com </button> </a>

The Utility of Applying Various Image Preprocessing Strategies to Reduce the Ambiguity in Deep Learning-based Clinical Image Diagnosis

Yasuhiko Tachibana, Takayuki Obata, Jeff Kershaw, Hironao Sakaki, Takuya Urushihata, Tokuhiko Omatsu, Riwa Kishimoto, Tatsuya Higashi
<span title="2019-05-10">2019</span> <i title="Japanese Society for Magnetic Resonance in Medicine"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/bp7c2gl4e5a7vbyzuvm6llfbsi" style="color: black;">Magnetic Resonance in Medical Sciences</a> </i> &nbsp;
The CNN model was trained and tested in five different ways using one of these image sets. The network architecture and all the parameters for training and testing remained unchanged.  ...  A general problem of machine-learning algorithms based on the convolutional neural network (CNN) technique is that the reason for the output judgement is unclear.  ...  Acknowledgment The authors appreciate the assistance of H. Kamada, E. Mitsui, and S. Komai during the study.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.2463/mrms.mp.2019-0021">doi:10.2463/mrms.mp.2019-0021</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/31080211">pmid:31080211</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC7232029/">pmcid:PMC7232029</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/5kypkyrkejczbozgfdwhlhyjc4">fatcat:5kypkyrkejczbozgfdwhlhyjc4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20201107105030/https://www.jstage.jst.go.jp/article/mrms/19/2/19_mp.2019-0021/_pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.2463/mrms.mp.2019-0021"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7232029" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

Comparison of Machine Learning and Logistic Regression Models in Predicting Acute Kidney Injury: A systematic review and meta-analysis

Xuan Song, Xinyan Liu, Fei Liu, Chunting Wang
<span title="2021-05-08">2021</span> <i title="Elsevier BV"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/jyf7co46pvdybh6jhdipt5d3im" style="color: black;">International Journal of Medical Informatics</a> </i> &nbsp;
The variability in ML prediction of AKI can be attributed, in part, to the specific ML model utilized, variable selection and processing, study and subject characteristics, and the steps associated with  ...  Independent samples t-test was performed to detect mean differences in area under the curve (AUC) between ML and LR models.  ...  ML models vary in complexity from older Bayesian networks to elaborate artificial neural networks such as deep learning.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.ijmedinf.2021.104484">doi:10.1016/j.ijmedinf.2021.104484</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/33991886">pmid:33991886</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/uegdxopmrbbbta7ozqaadk7lcu">fatcat:uegdxopmrbbbta7ozqaadk7lcu</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210529112600/https://pdf.sciencedirectassets.com/271161/1-s2.0-S1386505621X00056/1-s2.0-S1386505621001106/main.pdf?X-Amz-Security-Token=IQoJb3JpZ2luX2VjEMz%2F%2F%2F%2F%2F%2F%2F%2F%2F%2FwEaCXVzLWVhc3QtMSJIMEYCIQDDYrKHVmCk9snCqCTR16Xb4M1Hxv7kgfSl7MSgCNjeaAIhAPnA6tRHAUsJH4e8TFdxqR%2Bj3bnZhZBZhKRCTPDa24VuKvoDCHQQBBoMMDU5MDAzNTQ2ODY1IgzEL3t0MVKverUjbdYq1wPokevQOD2M5k9dQ4SKFC7HrjJvMTE5fzJ9NS9GhT8m3%2FjA8R3l7cvjwGjHPHJdtVJe%2FTW%2B9B01RcVGpe6a%2BfJ%2B0qpX%2BLFfQQeDLjIXlMYWZkcNMTRmcNSSjuFIpptH3EwQFl2G80TVZhzOUVEl%2BTIO0TCxO63j%2FsQfDoxbPI%2F%2FxXoftlXUE%2B2jU%2Fxx1U7xEJ5Gq%2FMoR2hp%2BslObZSBVq4mbVKfPS%2BtvxSxy4dVgtfxijdTwm2%2FbP6gFuPyISl1ZESBt6Jg1YmLQlVTVLximJyaYppgjKqud3B03w4oHpeyTxiUczWzaDGYqpsTrTKorFOgh0qyypkWP8%2F0TLH0otQSTPVUd%2FR2z9Sr9ZLVJcJ%2BwGByRVFGW9lyCSTJQF%2BNbwgehljpacLlnGIY97y1Jo5LqKoxmwJA5zXsNL%2BG1bV4uThyMc4JIMqaRVFWyCTg5C63vcytWR95ic3s7nDTTmqz1hW4YIcupXgzKF1P9K5oyK4OlmUNtyBBKaN7N0CpX%2FEso3wH5BOgU6kAw0UkNhCJRpdHUftdwof7G3zgzilnq3lXmUS7CFPy%2BUPJ64FYK3z5oB8tU3EutqfnkYTlQGF3ao3JyZFxc0fgpEBskdHMfNyi0k2smM8w3cLIhQY6pAFjck%2FwXP9GRJ62Z0XCBhKjoT54RdMiSae50h%2F8M5PiVE%2BPWiPHT8aRO2ELEPe%2FK0ziDXjTxYSvPlh1DscbYxlwLfrZdu7bYxa5MnYTY0Qk6vMo308TqW7iMZT3o1gfn7K2nb2%2BCSsN91SbIrYTeYBK3GPV3RXiaCQS%2FnD3MswgSbi23FMcqVIGXxOhxWMJGV3JgDMaR56jsZt6u6nacSwoYWQEzA%3D%3D&amp;X-Amz-Algorithm=AWS4-HMAC-SHA256&amp;X-Amz-Date=20210529T112554Z&amp;X-Amz-SignedHeaders=host&amp;X-Amz-Expires=300&amp;X-Amz-Credential=ASIAQ3PHCVTY3SCXT35Y%2F20210529%2Fus-east-1%2Fs3%2Faws4_request&amp;X-Amz-Signature=0d1549f4c6b822e164fe616a25940d15067ebcd941f8d0e665afc9379bf2a60c&amp;hash=f4c7b649b8c0c3d991f56a10f571cc75d93c6fdce1fb43c768a7501b462deb27&amp;host=68042c943591013ac2b2430a89b270f6af2c76d8dfd086a07176afe7c76c2c61&amp;pii=S1386505621001106&amp;tid=spdf-d7e0f2a4-3352-4f76-b712-bee270bb7370&amp;sid=5941d7b77bde01421f3a0db3ae612eac5d55gxrqa&amp;type=client" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/02/19/02194d84d4292456fb39e6c7607fc22abebcce0c.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.ijmedinf.2021.104484"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> elsevier.com </button> </a>

Development of an Image Analysis-Based Prognosis Score Using Google's Teachable Machine in Melanoma

Stephan Forchhammer, Amar Abu-Ghazaleh, Gisela Metzler, Claus Garbe, Thomas Eigentler
<span title="2022-04-29">2022</span> <i title="MDPI AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/2zwku6u6nfdcri773tpisi6ldi" style="color: black;">Cancers</a> </i> &nbsp;
Results: Using Google's Teachable Machine, a prognosis score for overall survival could be developed that achieved a statistically significant prognosis estimate with an AUC of 0.694 in a ROC analysis  ...  Conclusions: The study supports the possibility of using deep learning-based classification systems for risk stratification in melanoma.  ...  The first published studies have investigated the use of AI-based neural networks in melanoma.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/cancers14092243">doi:10.3390/cancers14092243</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/35565371">pmid:35565371</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC9105888/">pmcid:PMC9105888</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/scf7msewifbzfcy4hgtdadrokm">fatcat:scf7msewifbzfcy4hgtdadrokm</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20220503052155/https://mdpi-res.com/d_attachment/cancers/cancers-14-02243/article_deploy/cancers-14-02243.pdf?version=1651248624" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/4c/8c/4c8c1e9e9617e91e16f3a12a629b95be3286ae76.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/cancers14092243"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> mdpi.com </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9105888" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

Transfer Learning for Urban Landscape Clustering and Correlation with Health Indexes [chapter]

Riccardo Bellazzi, Alessandro Aldo Caldarone, Daniele Pala, Marica Franzini, Alberto Malovini, Cristiana Larizza, Vittorio Casella
<span title="">2019</span> <i title="Springer International Publishing"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/2w3awgokqne6te4nvlofavy5a4" style="color: black;">Lecture Notes in Computer Science</a> </i> &nbsp;
In this paper we describe a component of such platform, designed to couple deep learning analysis of geospatial images of cities and some healthcare and behavioral indexes collected by the 500 cities US  ...  project, showing that, in New York City, urban landscape significantly correlates with the access to healthcare services.  ...  The work is part of the project PULSE, H2020 -727816, funded by the European Union.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-030-32785-9_13">doi:10.1007/978-3-030-32785-9_13</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/nxauooqcbrb5xdzzzqsjixziv4">fatcat:nxauooqcbrb5xdzzzqsjixziv4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200310015058/https://link.springer.com/content/pdf/10.1007%2F978-3-030-32785-9_13.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/bc/ca/bccad43ce86e30f1a86f98872d1a12eefa2b6cd6.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-030-32785-9_13"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> springer.com </button> </a>

Deep learning classification of early normal-tension glaucoma and glaucoma suspects using Bruch's membrane opening-minimum rim width and RNFL

Sat byul Seo, Hyun-kyung Cho
<span title="2020-11-04">2020</span> <i title="Springer Science and Business Media LLC"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/tnqhc2x2aneavcd3gx5h7mswhm" style="color: black;">Scientific Reports</a> </i> &nbsp;
A deep-learning algorithm was developed to discriminate between GS and early NTG using a training set, and its accuracy was validated in the testing dataset using the area under the curve (AUC) of the  ...  The deep neural network model (DNN) achieved highest diagnostic performance, with an AUC of 0.966 (95%confidence interval 0.929–1.000) in classifying either GS or early NTG, while AUCs of 0.927–0.947 were  ...  (D) Deep neural network. Twenty-five parameters as input in the layer.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1038/s41598-020-76154-7">doi:10.1038/s41598-020-76154-7</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/33149191">pmid:33149191</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/fdwbux4ox5di3ag2qzixd7x6dm">fatcat:fdwbux4ox5di3ag2qzixd7x6dm</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210429095308/https://www.nature.com/articles/s41598-020-76154-7.pdf?error=cookies_not_supported&amp;code=2421f9e7-960b-4aa4-821d-fcb781d1672e" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/7e/92/7e92032696d3bcca5a73a5db9c44d8a2fd283f5d.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1038/s41598-020-76154-7"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> Publisher / doi.org </button> </a>

Objective analysis of neck muscle boundaries for cervical dystonia using ultrasound imaging and deep learning

Ian Loram, Abdul Siddique, Maria Beatriz Beatriz Sanchez Puccini, Peter Harding, Monty Silverdale, Christopher Kobylecki, Ryan James Cunningham
<span title="2020-01-09">2020</span> <i title="Institute of Electrical and Electronics Engineers (IEEE)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/q2z26obphvchndqieqd65vltle" style="color: black;">IEEE journal of biomedical and health informatics</a> </i> &nbsp;
Using previously validated methods, we used 60-fold cross validation to train, validate and test a deep neural network (U-net) to classify pixels to 13 categories (five paired neck muscles, skin, ligamentum  ...  We manually annotated 3,272 US images sampling posture and the functional range of pitch, yaw, and roll head movements.  ...  Gregory May and Brian Bate to assist data collection and the encouragement and support of Joanne Day to develop this work to assist those with cervical dystonia.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/jbhi.2020.2964098">doi:10.1109/jbhi.2020.2964098</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/31940567">pmid:31940567</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/z7co32e43jgr3fr2kxbjz4ir5q">fatcat:z7co32e43jgr3fr2kxbjz4ir5q</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20201108121211/https://ieeexplore.ieee.org/ielx7/6221020/9056600/08954690.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/f4/44/f444c094ba501b577954b7e4a695d700759586bc.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/jbhi.2020.2964098"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

A Two-dimensional Sparse Matrix Profile DenseNet for COVID-19 Diagnosis Using Chest CT Images

Qian Liu, Carson K. Leung, Pingzhao Hu
<span title="">2020</span> <i title="Institute of Electrical and Electronics Engineers (IEEE)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/q7qi7j4ckfac7ehf3mjbso4hne" style="color: black;">IEEE Access</a> </i> &nbsp;
An anomaly severity score (CT-SS) was calculated, and the difference of the CT-SS between the COVID-19 CT images and Non-COVID-19 CT images was tested.  ...  Furthermore, we identified a potential causal association between the number of underlying diseases of a COVID-19 patient and the severity of the disease through statistical mediation analysis.  ...  Unsupervised anomaly detection and advanced deep convolutional neural network were utilized in an unbroken and connected manner.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/access.2020.3040245">doi:10.1109/access.2020.3040245</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/czefke72r5chjhuzpqm7nh6aku">fatcat:czefke72r5chjhuzpqm7nh6aku</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210429135053/https://ieeexplore.ieee.org/ielx7/6287639/8948470/09268138.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/66/f0/66f0f8aa452508dfd1a1496cff33121c4d3ac5af.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/access.2020.3040245"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> ieee.com </button> </a>

Deep Learning-Based Assessment of Adverse Cardiovascular Events in Elderly Patients with Coronary Heart Disease after Percutaneous Coronary Intervention Using Intravascular Ultrasound Images

Shu Wang, Gustavo Ramirez
<span title="2021-09-10">2021</span> <i title="Hindawi Limited"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/fw4azkpu65d2thmrwfkoawyxse" style="color: black;">Scientific Programming</a> </i> &nbsp;
ultrasound (IVUS) images based on the deep learning of convolutional neural networks (CNNs).  ...  ), and C-reactive protein (CRP) were significantly lower than those before surgery, and the difference was statistically significant ( P < 0.05 ).  ...  In addition, neural network recognition technology has begun to attract attention from all walks of life and is widely used in image segmentation. e neural network has a huge number of connections, and  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1155/2021/3314457">doi:10.1155/2021/3314457</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/63t3ybziibgmdjwcwy3hrynp3m">fatcat:63t3ybziibgmdjwcwy3hrynp3m</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210915151607/https://downloads.hindawi.com/journals/sp/2021/3314457.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/39/e8/39e8cf6a53660b7cd4b757d1a4354dc61a202ee9.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1155/2021/3314457"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> hindawi.com </button> </a>

A Systematic Review of Breast Cancer Detection Using Thermography and Neural Networks

Mohammed Abdulla Salim Al Husaini, Mohamed Hadi Habaebi, Shihab A. Hameed, Md Rafiqul Islam, Teddy Surya Gunawan
<span title="">2020</span> <i title="Institute of Electrical and Electronics Engineers (IEEE)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/q7qi7j4ckfac7ehf3mjbso4hne" style="color: black;">IEEE Access</a> </i> &nbsp;
Deep Convolutional Neural Network specialized in image processing and consisted of two networks, the first Neural Network to extract features from images and the second Neural Network to classify the image  ...  In the context of deep learning, the word depth has two meanings: Depth in increasing the number of Layers in the Convolutional Neural Network and number of color s used in the analysis of the image [  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/access.2020.3038817">doi:10.1109/access.2020.3038817</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/zpukzx44fvc5blx7c7wb36622u">fatcat:zpukzx44fvc5blx7c7wb36622u</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20201118115304/https://ieeexplore.ieee.org/ielx7/6287639/6514899/09261422.pdf?tp=&amp;arnumber=9261422&amp;isnumber=6514899&amp;ref=" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/25/90/2590aca1fa3b1c8c797abfea2c4d6220cc0a1667.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/access.2020.3038817"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> ieee.com </button> </a>

Experimental Evaluation of Deep Learning Methods for an Intelligent Pathological Voice Detection System Using the Saarbruecken Voice Database

Ji-Yeoun Lee
<span title="2021-08-02">2021</span> <i title="MDPI AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/smrngspzhzce7dy6ofycrfxbim" style="color: black;">Applied Sciences</a> </i> &nbsp;
This work is focused on deep learning methods, such as feedforward neural network (FNN) and convolutional neural network (CNN), for pathological voice detection using mel-frequency cepstral coefficients  ...  The combination of various parameters and deep learning methods was also useful for distinguishing normal from pathological voices.  ...  This work is focused on deep learning methods, such as feedforward neural network (FNN) and convolutional neural network (CNN), for the detection of pathological speech using mel-frequency cepstral coefficients  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/app11157149">doi:10.3390/app11157149</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/oiqcbpg3w5eq7dk6amxdfkz5mq">fatcat:oiqcbpg3w5eq7dk6amxdfkz5mq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210802233550/https://res.mdpi.com/d_attachment/applsci/applsci-11-07149/article_deploy/applsci-11-07149.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/e4/6e/e46e6b13fbe0b5c44e1a660b41425b8619e09a15.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/app11157149"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> mdpi.com </button> </a>

Graph Embedding Deep Learning Guides Microbial Biomarkers' Identification

Qiang Zhu, Xingpeng Jiang, Qing Zhu, Min Pan, Tingting He
<span title="2019-11-22">2019</span> <i title="Frontiers Media SA"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/r7trx2kj6je5jhtaoy3rztibgy" style="color: black;">Frontiers in Genetics</a> </i> &nbsp;
In this work, we construct a sparse microbial interaction network and embed this graph into deep model to alleviate the risk of overfitting and improve the performance.  ...  Further, we explore a Graph Embedding Deep Feedforward Network (GEDFN) to conduct feature selection and guide meaningful microbial markers' identification.  ...  Results The Hyperparameters of Graph Embedding Deep Feedforward Neural Network The structure of the graph embedding deep feedforward neural network (GEDFN) is shown in Figure 2 .  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3389/fgene.2019.01182">doi:10.3389/fgene.2019.01182</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/31824573">pmid:31824573</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC6883002/">pmcid:PMC6883002</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/z4l75rsobfhurihowp7ugl4mne">fatcat:z4l75rsobfhurihowp7ugl4mne</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20191130210355/https://fjfsdata01prod.blob.core.windows.net/articles/files/491009/pubmed-zip/.versions/1/.package-entries/fgene-10-01182.pdf?sv=2015-12-11&amp;sr=b&amp;sig=VX6FsYbq5uhwwRicnALrx4%2Ftn1ShMY0pR3I%2FECh39CE%3D&amp;se=2019-11-30T21%3A04%3A25Z&amp;sp=r&amp;rscd=attachment%3B%20filename%2A%3DUTF-8%27%27fgene-10-01182.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/5e/b1/5eb1c93893d36044577e1a3852b0d333177b3044.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3389/fgene.2019.01182"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> frontiersin.org </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6883002" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

DeepRadiologyNet: Radiologist Level Pathology Detection in CT Head Images [article]

Jameson Merkow and Robert Lufkin and Kim Nguyen and Stefano Soatto and Zhuowen Tu and Andrea Vedaldi
<span title="2017-12-02">2017</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Our system, named DeepRadiologyNet, builds on top of deep convolutional neural networks (CNNs) trained using approximately 3.5 million CT head images gathered from over 24,000 studies taken from January  ...  Thus, DeepRadiologyNet enables significant reduction in the workload of human radiologists by automatically filtering studies and reporting on the high-confidence ones at an operating point well below  ...  In this work, we choose the discriminant φ w (·) among the class of functions represented by deep (multilayer) neural networks.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1711.09313v3">arXiv:1711.09313v3</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/k6wy7do5ajcgpftnjx7hfaeifu">fatcat:k6wy7do5ajcgpftnjx7hfaeifu</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200924204906/https://arxiv.org/pdf/1711.09313v3.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/ee/79/ee7932d2dbe3ab0fab41bd6ddac2dd29f1de01ff.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1711.09313v3" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

Recent advances of deep learning in psychiatric disorders

Lu Chen, Chunchao Xia, Huaiqiang Sun
<span title="2020-08-28">2020</span> <i title="Oxford University Press (OUP)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/zdxlwkgpmvfyjdyq724nuanrp4" style="color: black;">Precision Clinical Medicine</a> </i> &nbsp;
Deep learning (DL) is a recently proposed subset of machine learning methods that has gained extensive attention in the academic world, breaking benchmark records in areas such as visual recognition and  ...  The results of these studies indicate that DL could be a powerful tool in assisting the diagnosis of psychiatric diseases.  ...  Acknowledgements This work was supported by National Natural Science Foundation of China (Grant No. 91859203) and Young Elite Scientists Sponsorship Program by CAST (YESS20160060).  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1093/pcmedi/pbaa029">doi:10.1093/pcmedi/pbaa029</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/35694413">pmid:35694413</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC8982596/">pmcid:PMC8982596</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/46k3vpw65ndnzcslne4a5fznem">fatcat:46k3vpw65ndnzcslne4a5fznem</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200906192556/https://watermark.silverchair.com/pbaa029.pdf?token=AQECAHi208BE49Ooan9kkhW_Ercy7Dm3ZL_9Cf3qfKAc485ysgAAArswggK3BgkqhkiG9w0BBwagggKoMIICpAIBADCCAp0GCSqGSIb3DQEHATAeBglghkgBZQMEAS4wEQQMzBCpLAvz_mXssO_xAgEQgIICbhS0hqzHbnQ9wKm29nW92dzxmHyhMwVZnE7UksWMzVp96nAyKPT2AN1rb-uJOvKGkOX-DYeEMSulgebdjwDUOnTJ6aUmFtirScTwHEFuJPhjvCQVs2lA_UsGQ9oIbpsHgLhCCZNyQGC-dLEPPUlr0UGhvX4TH-8TIBwtolxB3QozkiSnpTld2afJfvDrD6HWCSOADpTzVK-FFsEzarRFbAR9iQwWMd4sbsNyTUUq9SA-d0m1BKJOMgEFLHepdBVVROCCJPEeWvB3g84XoaYqe5ZfUcrrCCCReNnSUDwYnQFwJ66o1-CcnSPmP807g7cttimp-U84FmQyaTIzEHxz_b-4IZqlQK1N0SNMtvV7gU8mD9Y_hY3OeTkA2v9nwAle9O4YIoUiCkfw4XTaE8lv139Jn_j2wxOjFMvwORHEheJNQFbXzldRi4rYRgM1-wdJEmqtsiMLq8ccwuU4isUzkfxb8uM4tjibyeNWNYeoCAP3dT_o5Ajhg0s8UPMnvU-31kEnybc3TRewoWvTQZT6zvNNCaS-vSaSqTaw6p8c7MtSDE1m-I7bGDVa8durGUKuTThpUl8QqrGlS-8oxBQ4XyQ_QJhRbtEvpB8dCacMY_LIFYNBvAGH7ZmPVFfDtPPt9ZwsFcS9DBMkLJwq39Vn11YYU7B4RpjgEGJC1dPDppR7dKENke68Cady6oj8bRRD9rEioT53iNThqZqQGVUCbbJuZWSu5ahft5hfJ750VEWsYnYxOujxzZxHJY9WkCy24lBvwLI_AX2eZsZT9D0PNtHJ9fpnP1VTnmgHDHS_TaJcZ2R1VlX-oWgNbyQDyoQ" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1093/pcmedi/pbaa029"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> oup.com </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8982596" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>
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