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Front Matter: Volume 10140

Proceedings of SPIE, Metin N. Gurcan, John E. Tomaszewski
<span title="2017-04-05">2017</span> <i title="SPIE"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/2truli4shne5vg3lq4xmeuxob4" style="color: black;">Medical Imaging 2017: Digital Pathology</a> </i> &nbsp;
using a Base 36 numbering system employing both numerals and letters.  ...  Publication of record for individual papers is online in the SPIE Digital Library. SPIEDigitalLibrary.org Paper Numbering: Proceedings of SPIE follow an e-First publication model.  ...  combination strategies for grade classification in colon cancer using fluorescence microscopy data [10140-25] 10140 0R Evaluating color performance of whole-slide imaging devices by multispectral-imaging  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1117/12.2270372">doi:10.1117/12.2270372</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/midp/X17.html">dblp:conf/midp/X17</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/6yeb63ix6bau7jhipthayjih24">fatcat:6yeb63ix6bau7jhipthayjih24</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20180722062211/https://www.spiedigitallibrary.org/conference-proceedings-of-spie/10140/1014001/Front-Matter-Volume-10140/10.1117/12.2270372.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/06/7c/067c5ea8ea9e96f6e7dc6d524ffaa83a98a0834a.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1117/12.2270372"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Micro-Net: A unified model for segmentation of various objects in microscopy images

Shan E Ahmed Raza, Linda Cheung, Muhammad Shaban, Simon Graham, David Epstein, Stella Pelengaris, Michael Khan, Nasir M. Rajpoot
<span title="2018-12-15">2019</span> <i title="Elsevier BV"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/kpkfymbkufcnzjfc5ydyokby4y" style="color: black;">Medical Image Analysis</a> </i> &nbsp;
We present a convolution neural network (CNN) based deep learning architecture for segmentation of objects in microscopy images.  ...  The proposed network can be used to segment cells, nuclei and glands in fluorescence microscopy and histology images after slight tuning of input parameters.  ...  We use one of the data sets to evaluate nuclear segmentation in four different tumour types (CPM) and the other one for gland segmentation in colon cancer histology images Figure 3 : 3 shown inFigure  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.media.2018.12.003">doi:10.1016/j.media.2018.12.003</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/30580111">pmid:30580111</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/7wg3w4zqx5ct7o3yzrqu3ktkhu">fatcat:7wg3w4zqx5ct7o3yzrqu3ktkhu</a> </span>
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A survey on deep learning in medical image analysis

Geert Litjens, Thijs Kooi, Babak Ehteshami Bejnordi, Arnaud Arindra Adiyoso Setio, Francesco Ciompi, Mohsen Ghafoorian, Jeroen A.W.M. van der Laak, Bram van Ginneken, Clara I. Sánchez
<span title="">2017</span> <i title="Elsevier BV"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/kpkfymbkufcnzjfc5ydyokby4y" style="color: black;">Medical Image Analysis</a> </i> &nbsp;
Deep learning algorithms, in particular convolutional networks, have rapidly become a methodology of choice for analyzing medical images.  ...  We survey the use of deep learning for image classification, object detection, segmentation, registration, and other tasks and provide concise overviews of studies per application area.  ...  Papers not reporting results on medical image data or only using standard feed-forward neural networks with handcrafted features were excluded.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.media.2017.07.005">doi:10.1016/j.media.2017.07.005</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/28778026">pmid:28778026</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/esbj72ftwvbgzh6jgw367k73j4">fatcat:esbj72ftwvbgzh6jgw367k73j4</a> </span>
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Fluorescence Spectroscopy of Neoplastic and Non-Neoplastic Tissues

Nirmala Ramanujam
<span title="">2000</span> <i title="Elsevier BV"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/g7rvuuqfdfelzoh5ohlhfj4exq" style="color: black;">Neoplasia: An International Journal for Oncology Research</a> </i> &nbsp;
If fluorescence spectroscopy can be applied successfully as a diagnostic technique in this clinical context, it may increase the potential for curative treatment, and thus, reduce complications and health  ...  To a much lesser extent, time -resolved, fluorescence measurements have also been explored for tissue characterization.  ...  Acknowledgements The author gratefully thanks Mary Leonard for her extensive help with the preparation of the figures for this manuscript.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1038/sj.neo.7900077">doi:10.1038/sj.neo.7900077</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/10933071">pmid:10933071</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC1531869/">pmcid:PMC1531869</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/x2ul5gmb5feefhjefsb65eckem">fatcat:x2ul5gmb5feefhjefsb65eckem</a> </span>
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Liquid Biopsy and Artificial Intelligence as Tools to Detect Signatures of Colorectal Malignancies: A Modern Approach in Patient's Stratification

Octav Ginghina, Ariana Hudita, Marius Zamfir, Andrada Spanu, Mara Mardare, Irina Bondoc, Laura Buburuzan, Sergiu Emil Georgescu, Marieta Costache, Carolina Negrei, Cornelia Nitipir, Bianca Galateanu
<span title="2022-03-08">2022</span> <i title="Frontiers Media SA"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/mefn5t5kjndavkrqau5bzfpaoe" style="color: black;">Frontiers in Oncology</a> </i> &nbsp;
On the other hand, the prospective use of artificial intelligence (AI) in medicine holds great promise in oncology, for the diagnosis, treatment, and prognosis prediction of disease.  ...  Colorectal cancer (CRC) is the second most frequently diagnosed type of cancer and a major worldwide public health concern.  ...  For example, CNNs were used to detect and classify nuclei in colon cancer biopsies (291) .  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3389/fonc.2022.856575">doi:10.3389/fonc.2022.856575</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/35356214">pmid:35356214</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC8959149/">pmcid:PMC8959149</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/zqumj57wubdl7et7mc2s3qjywi">fatcat:zqumj57wubdl7et7mc2s3qjywi</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20220311124646/https://fjfsdata01prod.blob.core.windows.net/articles/files/856575/pubmed-zip/.versions/2/.package-entries/fonc-12-856575.pdf?sv=2018-03-28&amp;sr=b&amp;sig=W9XyfrK%2BvYa3qf8lvuldNkRe0TBw26hI3PGY7rtqDvo%3D&amp;se=2022-03-11T12%3A47%3A15Z&amp;sp=r&amp;rscd=attachment%3B%20filename%2A%3DUTF-8%27%27fonc-12-856575.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/50/8a/508aa739583d221bc829b6111da284941240f70f.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3389/fonc.2022.856575"> <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/PMC8959149" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

Deep Learning Models for Digital Pathology [article]

Aïcha BenTaieb, Ghassan Hamarneh
<span title="2019-10-29">2019</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
In this survey, we summarize the different challenges facing computational systems for digital pathology and provide a review of state-of-the-art works that developed deep learning-based solutions for  ...  We then discuss the challenges facing the validation and integration of such deep learning-based computational systems in clinical workflow and reflect on future opportunities for histopathology derived  ...  It is a critical component in diagnostic medicine and a tool for studying the pathogenesis and biology of processes such as cancer, cell duplication or embryogenesis.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1910.12329v2">arXiv:1910.12329v2</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/2b7h7i2zwbautewneabghm3bzi">fatcat:2b7h7i2zwbautewneabghm3bzi</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200824005508/https://arxiv.org/pdf/1910.12329v2.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/df/6e/df6edc0944368495acb1dc7d5ec60a4754992e1a.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1910.12329v2" 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>

Scope of Artificial Intelligence in Screening and Diagnosis of Colorectal Cancer

Hemant Goyal, Rupinder Mann, Zainab Gandhi, Abhilash Perisetti, Aman Ali, Khizar Aman Ali, Neil Sharma, Shreyas Saligram, Benjamin Tharian, Sumant Inamdar
<span title="2020-10-15">2020</span> <i title="MDPI AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/dwd4kjnpxfgfljif4cg2bgznpm" style="color: black;">Journal of Clinical Medicine</a> </i> &nbsp;
AI could provide a "second look" for endoscopists to decrease the rate of missed polyps during a colonoscopy.  ...  This descriptive review discusses various AI and CAD applications in colorectal cancer screening, polyp detection, and characterization.  ...  vs. 70% for human observer and computer-based approach, respectively. colon polyp classification is possible using NBI vascularization features, it is inferior to human experts.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/jcm9103313">doi:10.3390/jcm9103313</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/33076511">pmid:33076511</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/aczsuwt3pbam5h5kzh3b2jpsqi">fatcat:aczsuwt3pbam5h5kzh3b2jpsqi</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20201023060859/https://res.mdpi.com/d_attachment/jcm/jcm-09-03313/article_deploy/jcm-09-03313.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/e1/24/e1249a1fa666b62dc42ef381c47322ee2399ebe9.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/jcm9103313"> <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>

Robust Nucleus/Cell Detection and Segmentation in Digital Pathology and Microscopy Images: A Comprehensive Review

Fuyong Xing, Lin Yang
<span title="">2016</span> <i title="Institute of Electrical and Electronics Engineers (IEEE)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/pjmncnm4zfdltlh5rxo2xd62xa" style="color: black;">IEEE Reviews in Biomedical Engineering</a> </i> &nbsp;
Digital pathology and microscopy image analysis is widely used for comprehensive studies of cell morphology or tissue structure.  ...  In this review, we provide a comprehensive summary of the recent state-of-the-art nucleus/cell segmentation approaches on different types of microscopy images including bright-field, phase-contrast, differential  ...  A convolutional layer learns a set of convolutional filters which will be used to calculate output feature maps, with each convolutional filter corresponding to one output feature map.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/rbme.2016.2515127">doi:10.1109/rbme.2016.2515127</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/26742143">pmid:26742143</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC5233461/">pmcid:PMC5233461</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/hx5ldvsppvgzxk6rdiok7siyvi">fatcat:hx5ldvsppvgzxk6rdiok7siyvi</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170829163459/http://www.bme.ufl.edu/labs/yang/pdf/cellDetectSegment.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/07/ee07d8530c080caa5056a60bcc176569544a8927.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/rbme.2016.2515127"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5233461" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

Artificial intelligence and computer-aided diagnosis in colonoscopy: current evidence and future directions

Omer F Ahmad, Antonio S Soares, Evangelos Mazomenos, Patrick Brandao, Roser Vega, Edward Seward, Danail Stoyanov, Manish Chand, Laurence B Lovat
<span title="">2019</span> <i title="Elsevier BV"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/7m6dxxhpqfbcpcowd5eo7i7wci" style="color: black;">The Lancet Gastroenterology and Hepatology</a> </i> &nbsp;
Computer-aided diagnosis (CAD) offers a promising solution to reduce variation in colonoscopy performance.  ...  Pooled miss rates as high as 22% for polyps and associated interval colorectal cancers following colonoscopy are concerning.  ...  Polyp Characterisation Computer-aided classification for colonic polyps has largely been developed for use with advanced imaging modalities such as magnifying NBI, endocytoscopy and laser auto-fluorescence  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/s2468-1253(18)30282-6">doi:10.1016/s2468-1253(18)30282-6</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/wqv6v3tdtncphcjbk6d4vxqklu">fatcat:wqv6v3tdtncphcjbk6d4vxqklu</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200508212352/http://eprints.whiterose.ac.uk/158066/1/Chand_AI%2520in%2520colonoscopy%2520review%2520LGH%2520Response%2520Clean%2520V2.1.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/4e/31/4e31bf0c1e43765ddff828ad7e2a82cbe39f7f5c.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/s2468-1253(18)30282-6"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> elsevier.com </button> </a>

Unsupervised Feature Extraction via Deep Learning for Histopathological Classification of Colon Tissue Images

Can Taylan Sari, Cigdem Gunduz-Demir
<span title="">2019</span> <i title="Institute of Electrical and Electronics Engineers (IEEE)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/yhnt2pif75h2bmnnmdg7m6nlc4" style="color: black;">IEEE Transactions on Medical Imaging</a> </i> &nbsp;
Second, it introduces a new deep learning based technique that quantizes the salient subregions by extracting a set of features directly learned on image data and uses the distribution of these quantizations  ...  Histopathological examination is today's gold standard for cancer diagnosis.  ...  Sokmensuer for providing the medical data.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/tmi.2018.2879369">doi:10.1109/tmi.2018.2879369</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/30403624">pmid:30403624</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/rd6l2xnhvvdq7hrz75ikf75k44">fatcat:rd6l2xnhvvdq7hrz75ikf75k44</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190429111753/http://repository.bilkent.edu.tr/bitstream/handle/11693/50268/Unsupervised_Feature_Extraction_via_Deep_Learning.pdf;jsessionid=3165B17DBF935F6EFDC9EE068E87B242?sequence=1" 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/87/03/87035afd93a9c68d912d0c33a1bc820ec4cccee4.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/tmi.2018.2879369"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

Scattering features for lung cancer detection in fibered confocal fluorescence microscopy images

Alain Rakotomamonjy, Caroline Petitjean, Mathieu Salaün, Luc Thiberville
<span title="">2014</span> <i title="Elsevier BV"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/7zekrk5bkbglxhzdjmkpl6hksq" style="color: black;">Artificial Intelligence in Medicine</a> </i> &nbsp;
For doing so, we have built a pattern recognition scheme which involves a feature extraction and a classification stages. The second contribution relies on the used features for discrimination.  ...  Fibered confocal fluorescence microscopy (FCFM) imaging technique is a novel medical imaging technique which interest is yet to be establish for diagnosis problem.  ...  ACKNOWLEDGMENTS This work was supported in part by the IST Program of the European Community, under the PASCAL2 Network of Excellence, IST-216886. This publication only reflects the authors views.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.artmed.2014.05.003">doi:10.1016/j.artmed.2014.05.003</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/24877616">pmid:24877616</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/ufs6dr6tabbfxlq7ijqizajioe">fatcat:ufs6dr6tabbfxlq7ijqizajioe</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170829020538/https://hal.archives-ouvertes.fr/file/index/docid/820354/filename/scatteringforlung.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/c1/b5/c1b5e05f492665529e46613d95ededda2b4e5340.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.artmed.2014.05.003"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> elsevier.com </button> </a>

Mining textural knowledge in biological images: Applications, methods and trends

Santa Di Cataldo, Elisa Ficarra
<span title="">2017</span> <i title="Elsevier BV"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/cmflnsn2l5gylcviv447te3mku" style="color: black;">Computational and Structural Biotechnology Journal</a> </i> &nbsp;
A B S T R A C T Texture analysis is a major task in many areas of computer vision and pattern recognition, including biological imaging.  ...  This makes automated texture analysis fundamental in many applications of biomedicine, such as the accurate detection and grading of multiple types of cancer, the differential diagnosis of autoimmune diseases  ...  For example, in Ref. [103] a combination of hand-crafted features and features learned through CNNs were applied to mitotic cells detection and counting for breast cancer grading. In Ref.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.csbj.2016.11.002">doi:10.1016/j.csbj.2016.11.002</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/27994798">pmid:27994798</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC5155047/">pmcid:PMC5155047</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/kycs2tx2djef3jnvefpcg4hble">fatcat:kycs2tx2djef3jnvefpcg4hble</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190327184412/https://core.ac.uk/download/pdf/81181065.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/81/b3/81b35412b45a47fde0217bbe71507c4a6952f65f.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.csbj.2016.11.002"> <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> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5155047" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

TOP-GAN: Label-Free Cancer Cell Classification Using Deep Learning with a Small Training Set [article]

Moran Rubin, Omer Stein, Nir A. Turko, Yoav Nygate, Darina Roitshtain, Lidor Karako, Itay Barnea, Raja Giryes, Natan T. Shaked
<span title="2018-12-17">2018</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
We believe that our approach makes the combination of holographic microscopy and deep learning networks more accessible to the medical field by enabling a rapid, automatic and accurate classification in  ...  We propose a new deep learning approach for medical imaging that copes with the problem of a small training set, the main bottleneck of deep learning, and apply it for classification of healthy and cancer  ...  In flow cytometry for cell sorting, one evaluates cellular features through fluorescence markers [4] .  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1812.11006v1">arXiv:1812.11006v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/kfqsz3bkbresnkcqkji4j734wu">fatcat:kfqsz3bkbresnkcqkji4j734wu</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20191022020131/https://arxiv.org/pdf/1812.11006v1.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/8e/77/8e77241d7d10901b4111feb19633c5f507c3fdc0.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1812.11006v1" 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>

Medical needs related to the endoscopic technology and colonoscopy for colorectal cancer diagnosis

Juan Francisco Ortega-Morán, Águeda Azpeitia, Luisa F Sánchez-Peralta, Luis Bote-Curiel, Blas Pagador, Virginia Cabezón, Cristina L Saratxaga, Francisco M Sánchez-Margallo
<span title="2021-04-26">2021</span> <i title="Springer (Biomed Central Ltd.)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/hheklop5kbcmhawhlxc5lzh2sa" style="color: black;">BMC Cancer</a> </i> &nbsp;
Detection and classification methods should be combined into one CAD system, providing visual aids over polyps for detection and displaying a Kudo-based diagnosis suggestion to assist the endoscopist on  ...  This study aims at extracting the medical needs related to the endoscopic technology and the colonoscopy procedure currently used for colorectal cancer diagnosis, essential for designing these demanded  ...  Efforts have also been focused on CAD systems for the classification and diagnosis of colonic polyps.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1186/s12885-021-08190-z">doi:10.1186/s12885-021-08190-z</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/33902503">pmid:33902503</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/3ro2ysn4efd6xpolelpdzedpn4">fatcat:3ro2ysn4efd6xpolelpdzedpn4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210429220721/https://bmccancer.biomedcentral.com/track/pdf/10.1186/s12885-021-08190-z.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/33/b7/33b7b1c744f08c7fd9578648520c5027f167b728.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1186/s12885-021-08190-z"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> springer.com </button> </a>

Novel Developments in Endoscopic Mucosal Imaging

Fons van der Sommen, Wouter L. Curvers, Wouter B. Nagengast
<span title="">2018</span> <i title="Elsevier BV"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/eyzywt3quvdnndezszw7mtfy3q" style="color: black;">Gastroenterology</a> </i> &nbsp;
Several new developments could assist in this. First, web based training tools could improve the skills of the endoscopist for enhancing the detection and classification of lesions.  ...  Secondly, incorporation of computer aided detection will be the next step to raise endoscopic quality of the captured data.  ...  The authors disclose the following: WBN, the UMCG received an unrestricted research grant for molecular imaging development from surgVision BV (the Netherlands).  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1053/j.gastro.2018.01.070">doi:10.1053/j.gastro.2018.01.070</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/29462601">pmid:29462601</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/3t3l4iv5xrcrldsy26n5xsksjq">fatcat:3t3l4iv5xrcrldsy26n5xsksjq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190501101732/https://pure.rug.nl/ws/files/74506848/1_s2.0_S0016508518302269_main_1_.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/12/68/126808f1078ab2c4faf57fe81bd81722fea8a7f9.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1053/j.gastro.2018.01.070"> <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>
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