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Weak Supervision in Convolutional Neural Network for Semantic Segmentation of Diffuse Lung Diseases Using Partially Annotated Dataset [article]

Yuki Suzuki, Kazuki Yamagata, Yanagawa Masahiro, Shoji Kido, Noriyuki Tomiyama
<span title="2020-02-27">2020</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Convolutional neural network (CNN) is one of the most promising technique for semantic segmentation among machine learning algorithms.  ...  In this paper, we develop semantic segmentation model for 5 kinds of DLDs. DLDs considered in this work are consolidation, ground glass opacity, honeycombing, emphysema, and normal.  ...  There are several kinds of supervised methods for automated assessment of DLDs including fully-supervised, 2-4 semi-supervised, 5 weakly supervised, 6 and unsupervised. 7 Machine learning techniques  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2002.11936v1">arXiv:2002.11936v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/mnv63s4zpjdyvecff7phuzna3y">fatcat:mnv63s4zpjdyvecff7phuzna3y</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200321110450/https://arxiv.org/pdf/2002.11936v1.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/2002.11936v1" 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 Image Segmentation with Limited Supervision: A Review of Deep Network Models

Jialin Peng, Ye Wang
<span title="">2021</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;
INDEX TERMS Medical image segmentation, semi-supervised segmentation, partially-supervised segmentation, noisy label, sparse annotation. 36828  ...  Therefore, the strong capability of learning and generalizing from limited supervision, including a limited amount of annotations, sparse annotations, and inaccurate annotations, is crucial for the successful  ...  For semantic segmentation of emphysema with both annotated and unannotated areas in training data, in the self-training framework, Peng et al.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/access.2021.3062380">doi:10.1109/access.2021.3062380</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/r5vsec2yfzcy5nk7wusiftyayu">fatcat:r5vsec2yfzcy5nk7wusiftyayu</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210501004918/https://ieeexplore.ieee.org/ielx7/6287639/9312710/09363892.pdf?tp=&amp;arnumber=9363892&amp;isnumber=9312710&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/f5/05/f505331f04110d377ebecc15769edf8072e2d4fa.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/access.2021.3062380"> <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>

Medical Image Segmentation with Limited Supervision: A Review of Deep Network Models [article]

Jialin Peng, Ye Wang
<span title="2021-02-28">2021</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Therefore, the strong capability of learning and generalizing from limited supervision, including a limited amount of annotations, sparse annotations, and inaccurate annotations, is crucial for the successful  ...  However, due to its intrinsic difficulty, segmentation with limited supervision is challenging and specific model design and/or learning strategies are needed.  ...  For semantic segmentation of emphysema with both annotated and unannotated areas in training data, in the self-training framework, Peng et al.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2103.00429v1">arXiv:2103.00429v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/p44a5e34sre4nasea5kjvva55e">fatcat:p44a5e34sre4nasea5kjvva55e</a> </span>
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Segmentation label propagation using deep convolutional neural networks and dense conditional random field

Mingchen Gao, Ziyue Xu, Le Lu, Aaron Wu, Isabella Nogues, Ronald M. Summers, Daniel J. Mollura
<span title="">2016</span> <i title="IEEE"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/qcepwfkflvg5toaa6fh2alj3b4" style="color: black;">2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI)</a> </i> &nbsp;
Availability and accessibility of large-scale annotated medical image datasets play an essential role in robust supervised learning of medical image analysis.  ...  Missed labeling of regions of interest is a common issue on existing medical image datasets due to the labor intensive nature of the annotation task which requires high levels of clinical proficiency.  ...  The proposed method is applicable to other problem- s as a generic semi-supervised image segmentation solution.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/isbi.2016.7493497">doi:10.1109/isbi.2016.7493497</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/isbi/GaoXLWNSM16.html">dblp:conf/isbi/GaoXLWNSM16</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/cawik5nmsjgpzdv2edqw6wfpbm">fatcat:cawik5nmsjgpzdv2edqw6wfpbm</a> </span>
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Table of Contents

<span title="">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;
Lu 2315 Semi-Supervised Learning for Semantic Segmentation of Emphysema With Partial Annotations . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .  ...  Shen 2278 Label Co-Occurrence Learning With Graph Convolutional Networks for Multi-Label Chest X-Ray Image Classification . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/jbhi.2020.3007241">doi:10.1109/jbhi.2020.3007241</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/b3vpzaxcdrdvrnjn2a36qajypy">fatcat:b3vpzaxcdrdvrnjn2a36qajypy</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20201108115707/https://ieeexplore.ieee.org/ielx7/6221020/9159696/09159699.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/22/fc/22fc0a4045266bef882774a8873f6fdd387d7ba5.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/jbhi.2020.3007241"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

Deep Learning of Unified Region, Edge, and Contour Models for Automated Image Segmentation [article]

Ali Hatamizadeh
<span title="2020-06-23">2020</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
, and (4) a novel few-shot learning model in both supervised settings and semi-supervised settings where synergies between latent and image spaces are leveraged to learn to segment images given limited  ...  In this thesis, we devise novel methodologies that address these issues and establish robust representation learning frameworks for fully-automatic semantic segmentation in medical imaging and mainstream  ...  Semi-Supervised Segmentation We have also validated the effectiveness of our SegAVA by using bounding box and scribble annotations.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2006.12706v1">arXiv:2006.12706v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/6jchhrv6zrhlhbpcak6fcbh4a4">fatcat:6jchhrv6zrhlhbpcak6fcbh4a4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200930040713/https://arxiv.org/pdf/2006.12706v1.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/d9/be/d9be5830c3269d8ad78d505ede102351f3fb3818.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2006.12706v1" 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>

Deep Mining External Imperfect Data for Chest X-ray Disease Screening [article]

Luyang Luo, Lequan Yu, Hao Chen, Quande Liu, Xi Wang, Jiaqi Xu, Pheng-Ann Heng
<span title="2020-06-06">2020</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
However, learning a disease classification model with extra Chest X-ray (CXR) data is yet challenging.  ...  Our method outperforms other competing models and sets state-of-the-art performance on the official NIH test set with 0.8349 AUC, demonstrating its effectiveness of utilizing the external dataset to improve  ...  the UTE module may draw advantage from unifying other semi-supervised learning mechanisms [40] , [57] .  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2006.03796v1">arXiv:2006.03796v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/4wbdav3cqvbo5d6dzy3ravnuia">fatcat:4wbdav3cqvbo5d6dzy3ravnuia</a> </span>
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Label-Assemble: Leveraging Multiple Datasets with Partial Labels [article]

Mintong Kang, Yongyi Lu, Alan L. Yuille, Zongwei Zhou
<span title="2022-03-04">2022</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Remarkably, when using existing partial labels, our model performance is on-par with that using full labels, eliminating the need for an additional 40% of annotation costs.  ...  The success of deep learning relies heavily on large and diverse datasets with extensive labels, but we often only have access to several small datasets associated with partial labels.  ...  Haghighi for surveying top solutions on the ChestXray benchmark (Tab. 6); thank R. Feng for reproducing baseline methods on ChestXray. We also thank the constructive suggestions from Dr. J.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2109.12265v3">arXiv:2109.12265v3</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/o6vg4gmlazbxdmvvqyiuq6oliy">fatcat:o6vg4gmlazbxdmvvqyiuq6oliy</a> </span>
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Deep learning in generating radiology reports: A survey

Maram Mahmoud A. Monshi, Josiah Poon, Vera Chung
<span title="2020-05-15">2020</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;
Substantial progress has been made towards implementing automated radiology reporting models based on deep learning (DL). This is due to the introduction of large medical text/image datasets.  ...  Generating radiology coherent paragraphs that do more than traditional medical image annotation, or single sentence-based description, has been the subject of recent academic attention.  ...  Deep RL is a semi-supervised technique for partially labeled datasets as it can act with limited input data.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.artmed.2020.101878">doi:10.1016/j.artmed.2020.101878</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/32425358">pmid:32425358</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC7227610/">pmcid:PMC7227610</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/ccy2g2rh2zavdjjvvjlv7poxau">fatcat:ccy2g2rh2zavdjjvvjlv7poxau</a> </span>
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Development and clinical implementation of tailored image analysis tools for COVID-19 in the midst of the pandemic: The synergetic effect of an open, clinically embedded software development platform and machine learning

Constantinos Anastasopoulos, Thomas Weikert, Shan Yang, Ahmed Abdulkadir, Lena Schmuelling, Claudia Buehler, Fabiano Paciolla, Raphael Sexauer, Joshy Cyriac, Ivan Nesic, Raphael Twerenbold, Jens Bremerich (+3 others)
<span title="2020-08-28">2020</span> <i title="Elsevier BV"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/dhyy6gwaarhlxbjzwzrqjgor24" style="color: black;">European Journal of Radiology</a> </i> &nbsp;
Deep convolutional neural network algorithms for lung segmentation and opacity quantification on chest CTs were trained using semi-automatically and manually created ground-truth (Ntotal = 172).  ...  During the emerging COVID-19 pandemic, radiology departments faced a substantial increase in chest CT admissions coupled with the novel demand for quantification of pulmonary opacities.  ...  Acknowledgement The article processing charge was funded by the University of Basel in the funding programme Open Access Publishing.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.ejrad.2020.109233">doi:10.1016/j.ejrad.2020.109233</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/32927416">pmid:32927416</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC7455238/">pmcid:PMC7455238</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/4mqj722l6bdpxbrrdvx4nh7qi4">fatcat:4mqj722l6bdpxbrrdvx4nh7qi4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210527032206/http://europepmc.org/backend/ptpmcrender.fcgi?accid=PMC7455238&amp;blobtype=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/98/be/98be83d64d6ca504bd422627104d984085fed517.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.ejrad.2020.109233"> <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/PMC7455238" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

Use HiResCAM instead of Grad-CAM for faithful explanations of convolutional neural networks [article]

Rachel Lea Draelos, Lawrence Carin
<span title="2021-11-21">2021</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Explanation methods facilitate the development of models that learn meaningful concepts and avoid exploiting spurious correlations.  ...  Overall, this work advances convolutional neural network explanation approaches and may aid in the development of trustworthy models for sensitive applications.  ...  The authors also thank Paidamoyo Chapfuwa, PhD, for thoughtful comments on the manuscript, David Dov, PhD, for discussion of multiple instance learning, and Geoffrey D.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2011.08891v4">arXiv:2011.08891v4</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/yo6gawyxdraedbe3nmwnwzvxu4">fatcat:yo6gawyxdraedbe3nmwnwzvxu4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210427042605/https://arxiv.org/pdf/2011.08891v3.pdf" title="fulltext PDF download [not primary version]" 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] <span style="color: #f43e3e;">&#10033;</span> <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/1e/2e/1e2e60131f081649716e10ae76ddba3baa349e1a.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2011.08891v4" 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>

Weakly Supervised Medical Diagnosis and Localization from Multiple Resolutions [article]

Li Yao, Jordan Prosky, Eric Poblenz, Ben Covington, Kevin Lyman
<span title="2018-03-21">2018</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
We introduce an approach to managing these practical constraints by applying a novel architecture which learns at multiple resolutions while generating saliency maps with weak supervision.  ...  Medical training data rarely includes more than global image-level labels as segmentations are time-consuming and expensive to collect.  ...  Weakly Supervised Multi-Instance Learning The aforementioned challenges in automated and semi-automated medical diagnosis motivate the design of machine learning models that are capable of not only making  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1803.07703v1">arXiv:1803.07703v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/imw2fo7p7vfnfejvvhxpnf7juy">fatcat:imw2fo7p7vfnfejvvhxpnf7juy</a> </span>
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Supporting the annotation of chronic obstructive pulmonary disease (COPD) phenotypes with text mining workflows

Xiao Fu, Riza Batista-Navarro, Rafal Rak, Sophia Ananiadou
<span title="">2015</span> <i title="Springer Nature"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/iasjcyzzyncgnohh3aitx65bhq" style="color: black;">Journal of Biomedical Semantics</a> </i> &nbsp;
., manually validated) annotations, the semi-automatic workflow was shown to obtain a micro-averaged F-score of 45.70% (with relaxed matching).  ...  This was implemented in the Argo platform by means of a semi-automatic annotation workflow that integrates several text mining tools, including a graphical user interface for marking up documents.  ...  Special mention goes to Andrea who has graciously contributed a significant amount of her time to provide us with annotations.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1186/s13326-015-0004-6">doi:10.1186/s13326-015-0004-6</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/25789153">pmid:25789153</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC4364458/">pmcid:PMC4364458</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/27zettictfbrbiswiabd62tmhi">fatcat:27zettictfbrbiswiabd62tmhi</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20171016214251/http://publisher-connector.core.ac.uk/resourcesync/data/Springer-OA/pdf/a00/aHR0cDovL2xpbmsuc3ByaW5nZXIuY29tLzEwLjExODYvczEzMzI2LTAxNS0wMDA0LTYucGRm.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/b6/69/b669a487e62a0cee90ba475cdb9c22a7203b8152.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1186/s13326-015-0004-6"> <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> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4364458" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

2020 Index IEEE Journal of Biomedical and Health Informatics Vol. 24

<span title="">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;
., A Globalized Model for Mapping Wearable Seismocardiogram Signals to Whole-Body Ballistocardiogram Signals Based on Deep Learning; JBHI May 2020 1296-1309 Herskovic, V., see Saint-Pierre, C., JBHI Jan  ...  ., +, JBHI Feb. 2020 493-502 Semi-Supervised Learning for Semantic Segmentation of Emphysema With Partial Annotations.  ...  Xu, R., +, JBHI July 2020 2041-2052 Semi-Supervised Learning for Semantic Segmentation of Emphysema With Partial Annotations.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/jbhi.2020.3048808">doi:10.1109/jbhi.2020.3048808</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/iifrkwtzazdmboabdqii7x5ukm">fatcat:iifrkwtzazdmboabdqii7x5ukm</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210228010254/https://ieeexplore.ieee.org/ielx7/6221020/9281055/09313843.pdf?tp=&amp;arnumber=9313843&amp;isnumber=9281055&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/fa/77/fa778104828871222f338036eb55e083a3e1a9ad.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/jbhi.2020.3048808"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

Artificial Intelligence in COPD: New Venues to Study a Complex Disease

Raúl San José Estépar
<span title="2020-10-07">2020</span> <i title="Fundacio Barcelona Respiratory Network"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/jw3hisro7jgehczssso33s5jeq" style="color: black;">Barcelona Respiratory Network</a> </i> &nbsp;
Finally, we will discuss some of the opportunities, challenges, and limitations for AI applications in the context of COPD.  ...  The unique nature of COPD and the accessibility to well-phenotyped populations result in an ideal scenario for AI development.  ...  These approaches are trained with large databases of annotated or segmented images by experts or semi-automated methods.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.23866/brnrev:2019-0014">doi:10.23866/brnrev:2019-0014</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/33521399">pmid:33521399</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC7842269/">pmcid:PMC7842269</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/f4vtut2ckvfxvnn7uvcamwhy5a">fatcat:f4vtut2ckvfxvnn7uvcamwhy5a</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20201104023147/https://www.brnreviews.com/files/brn_20_6_2_144-160.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/a2/29/a229fb0659a8f7093c802115f68d472bd960be47.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.23866/brnrev:2019-0014"> <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/PMC7842269" 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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