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Dense Extreme Inception Network: Towards a Robust CNN Model for Edge Detection [article]

Xavier Soria, Edgar Riba, Angel D. Sappa
<span title="2020-02-04">2020</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
This paper proposes a Deep Learning based edge detector, which is inspired on both HED (Holistically-Nested Edge Detection) and Xception networks.  ...  The proposed approach generates thin edge-maps that are plausible for human eyes; it can be used in any edge detection task without previous training or fine tuning process.  ...  The authors gratefully acknowledge the support of the CYTED Network: "Ibero-American Thematic Network on ICT Applications for Smart Cities" (REF-518RT0559) and the NVIDIA Corporation with the donation  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1909.01955v2">arXiv:1909.01955v2</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/br7hs5buebetfpj4wetjk6axj4">fatcat:br7hs5buebetfpj4wetjk6axj4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200321092855/https://arxiv.org/pdf/1909.01955v2.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" href="https://arxiv.org/abs/1909.01955v2" 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>

Dense Extreme Inception Network: Towards a Robust CNN Model for Edge Detection

Xavier Soria, Edgar Riba, Angel Sappa
<span title="">2020</span> <i title="IEEE"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/wsjivbkuezdvxdnrhihbwjrxlu" style="color: black;">2020 IEEE Winter Conference on Applications of Computer Vision (WACV)</a> </i> &nbsp;
This paper proposes a Deep Learning based edge detector, which is inspired on both HED (Holistically-Nested Edge Detection) and Xception networks.  ...  The proposed approach generates thin edge-maps that are plausible for human eyes; it can be used in any edge detection task without previous training or fine tuning process.  ...  The authors gratefully acknowledge the support of the CYTED Network: "Ibero-American Thematic Network on ICT Applications for Smart Cities" (REF-518RT0559) and the NVIDIA Corporation with the donation  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/wacv45572.2020.9093290">doi:10.1109/wacv45572.2020.9093290</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/wacv/SoriaRS20.html">dblp:conf/wacv/SoriaRS20</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/znpviuf2prduhbvahgd7avznzu">fatcat:znpviuf2prduhbvahgd7avznzu</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200709212649/https://openaccess.thecvf.com/content_WACV_2020/papers/Poma_Dense_Extreme_Inception_Network_Towards_a_Robust_CNN_Model_for_WACV_2020_paper.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/c8/a5/c8a580713e6532fede970c1a75bf13d6464fcf4c.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/wacv45572.2020.9093290"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

Dense Extreme Inception Network for Edge Detection [article]

Xavier Soria Poma, Angel Sappa, Patricio Humanante, Arash Arbarinia
<span title="2021-12-04">2021</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Second, we propose a novel architecture, termed Dense Extreme Inception Network for Edge Detection (DexiNed), that can be trained from scratch without any pre-trained weights.  ...  Most of the publicly available datasets are not curated for edge detection tasks. Here, we offer a solution to this constraint.  ...  Riba, A. Sappa, Dense extreme inception network: Towards a robust cnn model for edge detection, in: Winter Conference on Applications of Computer Vision, 2020. [18] I.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2112.02250v1">arXiv:2112.02250v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/pe4yxakgrvg3rdo7ojmw6ojwvu">fatcat:pe4yxakgrvg3rdo7ojmw6ojwvu</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20211208132943/https://arxiv.org/pdf/2112.02250v1.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/c1/84/c1847ff786227de12caec16d76ad07d160043462.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2112.02250v1" 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>

UPANets: Learning from the Universal Pixel Attention Networks [article]

Ching-Hsun Tseng, Shin-Jye Lee, Jia-Nan Feng, Shengzhong Mao, Yu-Ping Wu, Jia-Yu Shang, Mou-Chung Tseng, Xiao-Jun Zeng
<span title="2021-03-22">2021</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Also, the extreme-connection structure makes UPANets robust with a smoother loss landscape.  ...  Recently, from the successful development of multi-head attention in natural language processing, it is sure that now is a time of either using a Transformer-like model or hybrid CNNs with attention.  ...  Not only that, the Deep layer aggregation model [24] similarly used dense connectivity to build a tree-based structure toward fusing images and image detection.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2103.08640v2">arXiv:2103.08640v2</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/jlh6oumobzfbfgjzbsgx6gjdte">fatcat:jlh6oumobzfbfgjzbsgx6gjdte</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210330160135/https://arxiv.org/ftp/arxiv/papers/2103/2103.08640.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/7d/6e/7d6e73aecec2bcaee318c670eaccc4c1213edf16.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2103.08640v2" 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>

3D Res-Inception Network Transfer Learning for Multiple Label Crowd Behavior Recognition

<span title="2019-03-31">2019</span> <i title="Korean Society for Internet Information (KSII)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/hupfbobgkvepdnt5g32qxkypsy" style="color: black;">KSII Transactions on Internet and Information Systems</a> </i> &nbsp;
The problem towards crowd behavior recognition in a serious clustered scene is extremely challenged on account of variable scales with non-uniformity.  ...  This paper aims to propose a crowed behavior classification framework based on a transferring hybrid network blending 3D res-net with inception-v3.  ...  Related Work 3D res-Inception network Building a spatio-temporal network for video processing can start with the three-dimensional expansion of a two-dimensional convolutional neural network, that is  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3837/tiis.2019.03.019">doi:10.3837/tiis.2019.03.019</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/33vi5s2s3rg77lj7o2qjebfxuy">fatcat:33vi5s2s3rg77lj7o2qjebfxuy</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200506233736/http://www.itiis.org/digital-library/manuscript/file/22042/TIISVol13No3-19.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/cf/f1/cff1016b82c869b9cfff1a6361553aeed165b3bf.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3837/tiis.2019.03.019"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Recent Advances in the Applications of Convolutional Neural Networks to Medical Image Contour Detection [article]

Zizhao Zhang and Fuyong Xing and Hai Su and Xiaoshuang Shi and Lin Yang
<span title="2017-08-24">2017</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Image contour detection is a fundamental but challenging task that has been studied for more than four decades.  ...  Deep convolution neural networks (CNNs), as one of the most important branch of the deep learning family, have been widely investigated for various computer-aided diagnosis tasks including long-term problems  ...  [144] Ultrasound and MRI segmentation A hough-voting CNN has robust contour extraction of anatomy. [227] Ultrasound segmentation Using recurrent memory networks for contour completion. [146] Cardiac  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1708.07281v1">arXiv:1708.07281v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/kdplgrjf4zaurcdbszcoeinktm">fatcat:kdplgrjf4zaurcdbszcoeinktm</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200902224651/https://arxiv.org/pdf/1708.07281v1.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/13/dd/13dd6882bab6ed18d8268e1d600c9ad5bf0bd9a2.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1708.07281v1" 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>

Pneumonia and COVID-19 Detection using Convolutional Neural Network

Prof. M. R. Gorbal
<span title="2022-04-30">2022</span> <i title="International Journal for Research in Applied Science and Engineering Technology (IJRASET)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/hsp44774azcezeyiq4kuzpfh5a" style="color: black;">International Journal for Research in Applied Science and Engineering Technology</a> </i> &nbsp;
We present CovidAID: COVID-19 AI Detector, a novel deep neural network based model to triage patients for appropriate testing.  ...  On the publicly available covid-chestxray-dataset, our model gives 90% accuracy for the COVID-19 infection. Keywords: Pneumonia, COVID-19, Chest X-Ray, Convolutional Neural Network, VGG-16  ...  The Inception-v3 model is an architecture of convolutional networks.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.22214/ijraset.2022.41674">doi:10.22214/ijraset.2022.41674</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/ndgwr7wiojao7nkkueto2zpukq">fatcat:ndgwr7wiojao7nkkueto2zpukq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20220427140139/https://www.ijraset.com/best-journal/pneumonia-and-covid19-detection-using-convolutional-neural-network" 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/7c/91/7c915e7e8c53595039764142b85906ed3125adf0.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.22214/ijraset.2022.41674"> <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>

Learning Hierarchical Representations with Spike-and-Slab Inception Network

Weizheng Qiao, Xiaojun Bi
<span title="2021-09-24">2021</span> <i title="MDPI AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/taedaf6aozg7vitz5dpgkojane" style="color: black;">Sensors</a> </i> &nbsp;
Recently, deep convolutional neural networks (CNN) with inception modules have attracted much attention due to their excellent performances on diverse domains.  ...  This operation further enhances the robustness of our model to variations of image intensity without increasing the model parameters.  ...  Acknowledgments: The authors would like to thank the handling Editor and the anonymous reviewers for their careful reading and helpful remarks.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/s21196382">doi:10.3390/s21196382</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/34640708">pmid:34640708</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/5eze4s2ocrawpbbzowcqk62yni">fatcat:5eze4s2ocrawpbbzowcqk62yni</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210929030443/https://mdpi-res.com/d_attachment/sensors/sensors-21-06382/article_deploy/sensors-21-06382-v2.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/18/32/1832e9dbfd6ad9ee6467e73035a43332f60f778b.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/s21196382"> <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 Survey of Deep Convolutional Neural Networks Applied for Prediction of Plant Leaf Diseases

Vijaypal Singh Dhaka, Sangeeta Vaibhav Meena, Geeta Rani, Deepak Sinwar, Kavita Kavita, Muhammad Fazal Ijaz, Marcin Woźniak
<span title="2021-07-12">2021</span> <i title="MDPI AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/taedaf6aozg7vitz5dpgkojane" style="color: black;">Sensors</a> </i> &nbsp;
This manuscript presents an exemplary comparison of the pre-processing techniques, Convolutional Neural Network models, frameworks, and optimization techniques applied to detect and classify plant diseases  ...  This manuscript also presents a survey of the datasets and performance metrics used to evaluate the efficacy of models.  ...  Author Contributions: For preparing this manuscript, S.V.M. and D.S. were involved in conceptualization, data curation, and investigation of research gaps.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/s21144749">doi:10.3390/s21144749</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/luvg3vtwznedflqmseip6rwiza">fatcat:luvg3vtwznedflqmseip6rwiza</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210722033605/https://res.mdpi.com/d_attachment/sensors/sensors-21-04749/article_deploy/sensors-21-04749-v4.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/0e/19/0e19e19c598e31b482ea35281e25238031f9a21e.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/s21144749"> <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>

Convolutional neural networks for the diagnosis and prognosis of the coronavirus disease pandemic

Sneha Kugunavar, C J Prabhakar
<span title="2021-05-05">2021</span> <i title="Springer (Biomed Central Ltd.)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/fyhszdbagjca7nexsgw54a6nv4" style="color: black;">Visual Computing for Industry, Biomedicine, and Art</a> </i> &nbsp;
The base models used for detection and classification were AlexNet, Visual Geometry Group Network with 16 layers, residual network, DensNet, GoogLeNet, MobileNet, Inception, and extreme Inception.  ...  The CNN models discussed in this review were mainly developed for the detection, classification, and segmentation of COVID-19 images.  ...  [57] used an Inception Residual Recurrent CNN (IRRCNN) with a transfer learning approach for the detection of COVID-19.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1186/s42492-021-00078-w">doi:10.1186/s42492-021-00078-w</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/33950399">pmid:33950399</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/msd5gal6vvdqzhasixgxd2pd5a">fatcat:msd5gal6vvdqzhasixgxd2pd5a</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210506040220/https://vciba.springeropen.com/track/pdf/10.1186/s42492-021-00078-w.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/a5/c9/a5c978d0d15b111ac5455087af1b58c6751aa57c.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1186/s42492-021-00078-w"> <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>

Gender recognition from unconstrained selfie images: a convolutional neural network approach

Saddam Bekhet, Abdullah M. Alghamdi, Islam F. Taj-Eddin
<span title="2022-04-01">2022</span> <i title="Institute of Advanced Engineering and Science"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/c3tlqqlmlrhohmjgwq5tzpde6m" style="color: black;">International Journal of Power Electronics and Drive Systems (IJPEDS)</a> </i> &nbsp;
This paper introduces a novel technique for human gender recognition from non-standard selfie images using deep learning approaches.  ...  Such way has achieved good results, however, the reliability of the facial images had a great effect on the robustness of extracted features, where any small change in the query facial image could change  ...  Following such exhaustive training the network had learnt numerous image components, i.e., edge patterns and color blobs, which are extremely important in detecting features of input images and correctly  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.11591/ijece.v12i2.pp2066-2078">doi:10.11591/ijece.v12i2.pp2066-2078</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/24wsas6olnazjgndwelej24foq">fatcat:24wsas6olnazjgndwelej24foq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20220202101331/http://ijece.iaescore.com/index.php/IJECE/article/download/25981/15569" 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/2c/1d/2c1dd9bd63b20885712a107e6250dab357282799.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.11591/ijece.v12i2.pp2066-2078"> <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>

Detection and visualization of abnormality in chest radiographs using modality-specific convolutional neural network ensembles

Sivaramakrishnan Rajaraman, Incheol Kim, Sameer K. Antani
<span title="2020-03-17">2020</span> <i title="PeerJ"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/eyfkjqp7sva5bbnwatk5zazi7q" style="color: black;">PeerJ</a> </i> &nbsp;
CNN models are trained on a large-scale CXR collection to learn modality-specific features and then repurposed for detecting and localizing abnormalities.  ...  Convolutional neural networks (CNNs) trained on natural images are extremely successful in image classification and localization due to superior automated feature extraction capability.  ...  The fully-connected network architecture accepts images of any size since they do not have dense layers.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.7717/peerj.8693">doi:10.7717/peerj.8693</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/32211231">pmid:32211231</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC7083159/">pmcid:PMC7083159</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/gfp3qujatnaonjodjrf7t2pmda">fatcat:gfp3qujatnaonjodjrf7t2pmda</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200323163436/https://peerj.com/articles/8693.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/3c/91/3c91398fbcbef39851c9498ca5937a694349fe44.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.7717/peerj.8693"> <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> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7083159" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

X-ray image based pneumonia classification using convolutional neural networks

Sarah Badr AlSumairi, Mohamed Maher Ben Ismail
<span title="2020-08-30">2020</span> <i title="Association of Computer, Communication and Education for National Triumph Social and Welfare Society (ACCENTS)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/lbmpcg4k3zge5lljo32czhszju" style="color: black;">ACCENTS Transactions on Image Processing and Computer Vision</a> </i> &nbsp;
Early diagnosis is a critical factor for a successful treatment process. Typically, the disease can be diagnosed by a radiologist using chest X-ray images.  ...  Namely, ResNet-50 and DenseNet-161 models were inherited to design customized deep network architecture and improve the overall pneumonia classification accuracy.  ...  Namely, they used a sequential CNN, a CNN with Inception modules (Inception CNN), a customized VGG16 [21] and a CNN with residual connections (Residual CNN).  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.19101/tipcv.2020.618050">doi:10.19101/tipcv.2020.618050</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/iv364mljmbedtmagnhjslnby2u">fatcat:iv364mljmbedtmagnhjslnby2u</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20201211210555/https://www.accentsjournals.org/PaperDirectory/Journal/TIPCV/2020/8/2.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/db/a1/dba1f010374c6fea7b870ddbcdb88435aff71858.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.19101/tipcv.2020.618050"> <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>

ERN: Edge Loss Reinforced Semantic Segmentation Network for Remote Sensing Images

Shuo Liu, Wenrui Ding, Chunhui Liu, Yu Liu, Yufeng Wang, Hongguang Li
<span title="2018-08-22">2018</span> <i title="MDPI AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/kay2tsbijbawliu45dnhvyvgsq" style="color: black;">Remote Sensing</a> </i> &nbsp;
segmentation and edge detection without significantly increasing the model complexity; and (3) we explore and discuss different ERN schemes to guide the design of future networks.  ...  The main contributions of this paper are as follows: (1) we propose a novel end-to-end semantic segmentation network for remote sensing, which involves multiple weighted edge supervisions to retain spatial  ...  There are also some superpixel-based CNN models for semantic segmentation [15, 28] . Their main shortcoming is that the superpixel is unlearnable and not robust.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/rs10091339">doi:10.3390/rs10091339</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/jh4y4wlbpncxfieydd2unjmixu">fatcat:jh4y4wlbpncxfieydd2unjmixu</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190503184756/https://res.mdpi.com/remotesensing/remotesensing-10-01339/article_deploy/remotesensing-10-01339.pdf?filename=&amp;attachment=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/d9/d0/d9d0fd6d42d829b693106d528fdc3746975c9331.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/rs10091339"> <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 unified deep-learning network to accurately segment insulin granules of different animal models imaged under different electron microscopy methodologies

Xiaoya Zhang, Xiaohong Peng, Chengsheng Han, Wenzhen Zhu, Lisi Wei, Yulin Zhang, Yi Wang, Xiuqin Zhang, Hao Tang, Jianshe Zhang, Xiaojun Xu, Fengping Feng (+5 others)
<span title="2018-10-10">2018</span> <i title="Springer Nature"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/pabnqenshbdzjlbb2bs2zs7jfa" style="color: black;">Protein &amp; Cell</a> </i> &nbsp;
Finally, we used a simple watershed based edge detection method for the instance segmentation of the binary maps.  ...  of different magnification and are extremely prone to errors for images with low signalto-noise ratios.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/s13238-018-0575-y">doi:10.1007/s13238-018-0575-y</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/30306458">pmid:30306458</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/gp5di2v4ubg4hknrqplrnkgk5y">fatcat:gp5di2v4ubg4hknrqplrnkgk5y</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190502172207/https://link.springer.com/content/pdf/10.1007%2Fs13238-018-0575-y.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/90/66/90664e2bd188f87d03ec8092da5e4584c6ad1380.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/s13238-018-0575-y"> <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>
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