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Deep Learning Predicts Cardiovascular Disease Risks from Lung Cancer Screening Low Dose Computed Tomography [article]

Hanqing Chao, Hongming Shan, Fatemeh Homayounieh, Ramandeep Singh, Ruhani Doda Khera, Hengtao Guo, Timothy Su, Ge Wang, Mannudeep K. Kalra, Pingkun Yan
<span title="2020-08-16">2020</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
In this validation study, our model achieved AUC of 0.942, 0.809 and 0.817 for CAC, CAD-RADS and MESA scores, respectively.  ...  Our deep model was further calibrated against the clinical gold standard CVD risk scores from ECG-gated dedicated cardiac CT, including coronary artery calcification (CAC) score, CAD-RADS score and MESA  ...  The authors thank the National Cancer Institute (NCI) for access to NCIs data collected by the National Lung Screening Trial.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2008.06997v1">arXiv:2008.06997v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/ojelmuunbrfsjpdxuhfh2y4hq4">fatcat:ojelmuunbrfsjpdxuhfh2y4hq4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200828060124/https://arxiv.org/pdf/2008.06997v1.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/59/94/59949218fd00eb7b05c1aceaed6407cc28586590.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2008.06997v1" 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>

Automatic Calcium Scoring in Low-Dose Chest CT Using Deep Neural Networks With Dilated Convolutions

Nikolas Lessmann, Bram van Ginneken, Majd Zreik, Pim A. de Jong, Bob D. de Vos, Max A. Viergever, Ivana Isgum
<span title="">2018</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;
This paper presents a method for automatic detection of coronary artery, thoracic aorta and cardiac valve calcifications in low-dose chest CT using two consecutive convolutional neural networks.  ...  These results demonstrate that the presented method enables reliable automatic cardiovascular risk assessment in all low-dose chest CT scans acquired for lung cancer screening.  ...  To enable other researchers to request the same data and perform a comparison with the here presented results, NCI has been provided with the list of scans used in this study.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/tmi.2017.2769839">doi:10.1109/tmi.2017.2769839</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/29408789">pmid:29408789</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/vrumaib6lnbrdnf35xnhdukyvu">fatcat:vrumaib6lnbrdnf35xnhdukyvu</a> </span>
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An Efficient Clustering Approach for Automatic Detection of Calcification in Low Dose Chest CT

P. Tamijiselvy, N. Kavitha, K. M. Keerthana, D. Menakha
<span title="2019-03-01">2019</span> <i title="Technoscience Academy"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/cwo66igunvdiplkdqwpqsgzpem" style="color: black;">International Journal of Scientific Research in Computer Science Engineering and Information Technology</a> </i> &nbsp;
This paper presents a method for automatic detection of coronary artery calcifications in low-dose chest CT scans using effective clustering algorithms with three phases as Pre-Processing, Segmentation  ...  The created strategy is fully automated data mining algorithm to segment and measure calcification using Low-dose Chest CT in smokers of age 50 to 70 .The identification of subjects with increased cardiovascular  ...  Viergevera, and Bram van Ginnekenb,"Deep convolutional neural networks for automatic coronary calcium scoring in a screening study with low-dose chest CT.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.32628/cseit195231">doi:10.32628/cseit195231</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/e37pafgtc5cddarv2lz5gldtwi">fatcat:e37pafgtc5cddarv2lz5gldtwi</a> </span>
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Direct Prediction of Cardiovascular Mortality from Low-dose Chest CT using Deep Learning [article]

Sanne G.M. van Velzen, Majd Zreik, Nikolas Lessmann, Max A. Viergever, Pim A. de Jong, Helena M. Verkooijen, Ivana Išgum
<span title="2018-10-04">2018</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
In this work we propose a method that automatically predicts 5-year cardiovascular mortality directly from chest CT scans without the need for hand-crafting image features.  ...  Low-dose chest CT images acquired at baseline were analyzed and the follow-up time was 5 years.  ...  ACKNOWLEDGMENTS The authors thank the National Cancer Institute for access to NCI's data collected by the National Lung Screening Trial.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1810.02277v1">arXiv:1810.02277v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/zsghumqtlvbszd4lych5gofdv4">fatcat:zsghumqtlvbszd4lych5gofdv4</a> </span>
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Hybrid deep neural networks for all-cause Mortality Prediction from LDCT Images [article]

Pingkun Yan, Hengtao Guo, Ge Wang, Ruben De Man, Mannudeep K. Kalra
<span title="2018-10-19">2018</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
In this paper, we propose a deep learning based method, which takes both chest LDCT image patches and coronary artery calcification risk scores as input, for direct prediction of mortality risk of lung  ...  The study also indicates that radiologist defined features can well complement convolutional neural networks for more comprehensive feature extraction.  ...  Deep learning has also been applied for automatic calcium scoring in chest LDCT [8] , which reports that deep neural networks can be used for measuring the size of CAC from LDCT and different filters  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1810.08503v1">arXiv:1810.08503v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/wbpl6shwmng7pg322om4sach6m">fatcat:wbpl6shwmng7pg322om4sach6m</a> </span>
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Machine Learning and Deep Neural Networks Applications in Computed Tomography for Coronary Artery Disease and Myocardial Perfusion

Caterina B. Monti, Marina Codari, Marly van Assen, Carlo N. De Cecco, Rozemarijn Vliegenthart
<span title="2020-03-17">2020</span> <i title="Ovid Technologies (Wolters Kluwer Health)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/yk5t2sk6hja23ib2wopena2afi" style="color: black;">Journal of thoracic imaging</a> </i> &nbsp;
Moreover, cardiac CT presents some fields wherein ML may be pivotal, such as coronary calcium scoring, CT angiography, and perfusion.  ...  In fact, ML allows the efficient handling of big volumes of data, allowing to tackle issues that were unfeasible before, especially with deep learning, which utilizes multilayered neural networks.  ...  AI FOR CALCIUM SCORING Coronary artery calcium (CAC) scoring is a CT screening tool for CAD, based on CAC that can be sensitively detected on noncontrast-enhanced cardiac scans.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1097/rti.0000000000000490">doi:10.1097/rti.0000000000000490</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/32195886">pmid:32195886</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/unh46rzy6fa7hiq4beppuvdkfq">fatcat:unh46rzy6fa7hiq4beppuvdkfq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210428125931/https://pure.rug.nl/ws/portalfiles/portal/149824162/Machine_Learning_and_Deep_Neural_Networks.10.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/7e/8b/7e8b18ed35c918c5ef6eb60deb2fd1c6e8aaf9aa.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1097/rti.0000000000000490"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Automatic coronary artery calcium scoring on routine chest computed tomography (CT): comparison of a deep learning algorithm and a dedicated calcium scoring CT

Cheng Xu, Heng Guo, Minfeng Xu, Miao Duan, Ming Wang, Peijun Liu, Xinyi Luo, Zhengyu Jin, Hui Liu, Yining Wang
<span title="">2021</span> <i title="AME Publishing Company"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/loautdcoere2pnt4xwr4hiv3yi" style="color: black;">Quantitative Imaging in Medicine and Surgery</a> </i> &nbsp;
The aim of this study was to investigate the reliability and accuracy of automatic coronary artery calcium (CAC) scoring and risk classification in non-gated, non-contrast chest computed tomography (CT  ...  Chest CT with a slice thickness of 3 mm was slightly more accurate in CAC detection and risk classification.  ...  For example, Wolterink et al. (5) and Lessmann et al. (6) both used a dedicated convolutional neural network (ConvNet) to localize the heart with a bounding box. Wolterink et al.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.21037/qims-21-1017">doi:10.21037/qims-21-1017</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/35502379">pmid:35502379</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC9014138/">pmcid:PMC9014138</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/iauym6henrcwfjvqqpxp3ezdmi">fatcat:iauym6henrcwfjvqqpxp3ezdmi</a> </span>
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Front Matter: Volume 9785

<span title="2016-08-30">2016</span> <i title="SPIE"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/xfwg4fmybzazfktmdtzvhcujka" style="color: black;">Medical Imaging 2016: Computer-Aided Diagnosis</a> </i> &nbsp;
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.  ...  using a Base 36 numbering system employing both numerals and letters.  ...  for chest x-ray image retrieval [9785-35] 9785 11 Deep convolutional neural networks for automatic coronary calcium scoring in a screening study with low-dose chest CT [9785-36] 9785 12 Comparison  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1117/12.2240961">doi:10.1117/12.2240961</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/micad/X16.html">dblp:conf/micad/X16</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/b5addnksdrgp3ixwvbjt53xeqe">fatcat:b5addnksdrgp3ixwvbjt53xeqe</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20180722165655/https://www.spiedigitallibrary.org/conference-proceedings-of-spie/9785/978501/Front-Matter-Volume-9785/10.1117/12.2240961.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/77/bc77edfdfc4794c111deaed3380dcb5b94618900.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1117/12.2240961"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

The Future of Concurrent Automated Coronary Artery Calcium Scoring on Screening Low-Dose Computed Tomography

Jeffrey Waltz, Madison Kocher, Jacob Kahn, McKenzie Dirr, Jeremy R Burt
<span title="2020-06-12">2020</span> <i title="Cureus, Inc."> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/74mctp3frjfttdv6dx4dzh6lbm" style="color: black;">Cureus</a> </i> &nbsp;
We reviewed primary scientific literature dating up to April 2020 using Pubmed and Google Scholar, with the search terms low dose CT, lung cancer screening, coronary artery calcium, EKG/cardiac gated CT  ...  Low-dose computed tomography (LDCT) has been extensively validated for lung cancer screening in selected patient populations.  ...  FIGURE 3 : 3 Example of an artificial neural network framework used to automatically detect the coronary artery calcium score from noncontrast chest CT IC (contrast image after preprocessing), INC (noncontrast  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.7759/cureus.8574">doi:10.7759/cureus.8574</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/32670710">pmid:32670710</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC7358941/">pmcid:PMC7358941</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/oh3jch22ivbz5g2cjv65atz4ee">fatcat:oh3jch22ivbz5g2cjv65atz4ee</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210428174653/https://assets.cureus.com/uploads/review_article/pdf/34118/1612430474-1612430469-20210204-18268-1nvjhb1.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/37/2a/372adf9718354376d9ca02633f80547063f77a27.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.7759/cureus.8574"> <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/PMC7358941" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

Automated coronary calcium scoring using deep learning with multicenter external validation

David Eng, Christopher Chute, Nishith Khandwala, Pranav Rajpurkar, Jin Long, Sam Shleifer, Mohamed H. Khalaf, Alexander T. Sandhu, Fatima Rodriguez, David J. Maron, Saeed Seyyedi, Daniele Marin (+12 others)
<span title="2021-06-01">2021</span> <i title="Springer Science and Business Media LLC"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/uwry6ckzz5bt5kepcbpuulmtqy" style="color: black;">npj Digital Medicine</a> </i> &nbsp;
We present two deep learning models that automate CAC scoring demonstrating advantages in automated scoring for both dedicated gated coronary CT exams and routine non-gated chest CTs performed for other  ...  Then using CAC scores from paired gated coronary CT as a reference standard, we trained a deep learning model on our internal data and a cohort from the Multi-Ethnic Study of Atherosclerosis (MESA) study  ...  We also thank the Stanford Center for Artificial Intelligence in Medicine & Imaging (AIMI) for assisting with data release.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1038/s41746-021-00460-1">doi:10.1038/s41746-021-00460-1</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/34075194">pmid:34075194</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC8169744/">pmcid:PMC8169744</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/cnv3onppynb5boabdaqvcmgb4i">fatcat:cnv3onppynb5boabdaqvcmgb4i</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210718170746/https://www.nature.com/articles/s41746-021-00460-1.pdf?error=cookies_not_supported&amp;code=7509feae-0c6e-4a8c-a970-c5e361aca856" 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/e3/ed/e3ed5e186d32ac27120eb3df09c17f9bf09e6607.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1038/s41746-021-00460-1"> <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/PMC8169744" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

Front Matter: Volume 12032

Ivana Išgum, Olivier Colliot
<span title="2022-04-25">2022</span> <i title="SPIE"> Medical Imaging 2022: Image Processing </i> &nbsp;
These two-number sets start with 00,  ...  using a Base 36 numbering system employing both numerals and letters.  ...  [12032-114] 3A Calcium scoring in low-dose ungated chest CT scans using convolutional long-short term memory networks [12032-115] 3B Weakly supervised brain tumor segmentation via semantic affinity deep  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1117/12.2638192">doi:10.1117/12.2638192</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/ikfgnjefaba2tpiamxoftyi6sa">fatcat:ikfgnjefaba2tpiamxoftyi6sa</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20220516005524/https://www.spiedigitallibrary.org/conference-proceedings-of-spie/12032/1203201/Front-Matter-Volume-12032/10.1117/12.2638192.pdf?SSO=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/45/9f/459fe55beb48b53257ac0600608686dbe2e881f4.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1117/12.2638192"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Application of artificial intelligence in cardiac CT: From basics to clinical practice

L.B. van den Oever, M. Vonder, M. van Assen, P.M.A. van Ooijen, G.H. de Bock, X.Q. Xie, R. Vliegenthart
<span title="2020-04-08">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;
This review is a comprehensive overview on the types of tasks and applications in which AI can aid the clinician in cardiac CT, and can be used as a primer for medical researchers starting in the field  ...  The applications of AI algorithms are explained and recent examples in cardiac CT of these algorithms are further elaborated on. The critical factors for implementation in the future are discussed.  ...  Acknowledgements This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.ejrad.2020.108969">doi:10.1016/j.ejrad.2020.108969</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/32361380">pmid:32361380</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/4epwuxkr65ezbiqjn3kjwj6zg4">fatcat:4epwuxkr65ezbiqjn3kjwj6zg4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210715015030/https://pure.rug.nl/ws/files/124753688/Application_of_artificial_intelligence_in_cardiac_CT_From_basics_to_clinical_practice.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/84/fb/84fb0b484325f086a5c0e2af6ad6b51f7908755f.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.2020.108969"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> elsevier.com </button> </a>

Direct Automatic Coronary Calcium Scoring in Cardiac and Chest CT [article]

Bob D. de Vos, Jelmer M. Wolterink, Tim Leiner, Pim A. de Jong, Nikolas Lessmann, Ivana Isgum
<span title="2019-02-12">2019</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
The method showed almost perfect agreement between automatic and manual CVD risk categorization in both datasets, with a linearly weighted Cohen's kappa of 0.95 in cardiac CT and 0.93 in chest CT.  ...  To meet demands of the increasing interest in quantification of CAC, i.e. coronary calcium scoring, especially as an unrequested finding for screening and research, automatic methods have been proposed  ...  Most recently proposed methods employ deep learning methods for automatic calcium scoring, in particular convolutional neural networks (ConvNets).  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1902.05408v1">arXiv:1902.05408v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/qhuhcwdbzfhk3cfoeqd46r2zui">fatcat:qhuhcwdbzfhk3cfoeqd46r2zui</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200929175513/https://arxiv.org/pdf/1902.05408v1.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/82/50/825003ce25765c8b21815246ebf739eafcce5621.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1902.05408v1" 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>

AI for Calcium Scoring [article]

Sanne G.M. van Velzen, Nils Hampe, Bob D. de Vos, Ivana Išgum
<span title="2021-05-24">2021</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
We conclude with a discussion on AI methods in calcium scoring and propose potential directions for future research.  ...  Calcium scoring, a process in which arterial calcifications are detected and quantified in CT, is valuable in estimating the risk of cardiovascular disease events.  ...  Recently, deep learning based methods were proposed for calcium scoring in low-dose chest CT [31, 32] . Lessmann et al.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2105.12558v1">arXiv:2105.12558v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/garralykpbeaxdxma6qrgbak5m">fatcat:garralykpbeaxdxma6qrgbak5m</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210607100108/https://arxiv.org/pdf/2105.12558v1.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/d6/c7/d6c7d9a548686b2115a594d9bdd6478c8ab094d2.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2105.12558v1" 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-Learning-Based Coronary Artery Calcium Detection from CT Image

Sungjin Lee, Beanbonyka Rim, Sung-Shick Jou, Hyo-Wook Gil, Xibin Jia, Ahyoung Lee, Min Hong
<span title="2021-10-25">2021</span> <i title="MDPI AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/taedaf6aozg7vitz5dpgkojane" style="color: black;">Sensors</a> </i> &nbsp;
One of the most common methods for diagnosing coronary artery disease is the use of the coronary artery calcium score CT.  ...  Therefore, in this paper, it is expected that through further research, both the simple presence of calcium and the automation of the calcium analysis score for each coronary artery calcium score CT will  ...  [20] proposed a study on deep-learning-based automatic coronary calcium score algorithm evaluation with data of 511 patients from 2014 to 2018.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/s21217059">doi:10.3390/s21217059</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/34770366">pmid:34770366</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC8588163/">pmcid:PMC8588163</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/23bng77okbb3hdvl7qqmzkdije">fatcat:23bng77okbb3hdvl7qqmzkdije</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20220429163141/https://mdpi-res.com/d_attachment/sensors/sensors-21-07059/article_deploy/sensors-21-07059-v2.pdf?version=1635228274" 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/79/52/79527e8bff3079ccf88f5c8fc6fc5f17f6d97e27.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/s21217059"> <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/PMC8588163" 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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