{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,4]],"date-time":"2026-03-04T21:31:37Z","timestamp":1772659897713,"version":"3.50.1"},"reference-count":74,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"8","license":[{"start":{"date-parts":[[2023,8,1]],"date-time":"2023-08-01T00:00:00Z","timestamp":1690848000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"DOI":"10.13039\/501100001381","name":"National Research Foundation Singapore","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100001381","id-type":"DOI","asserted-by":"publisher"}]},{"name":"AI Singapore Programme","award":["AISG-GC-2019-001-2A"],"award-info":[{"award-number":["AISG-GC-2019-001-2A"]}]},{"name":"NMRC Health Service Research","award":["MOH-000030-00"],"award-info":[{"award-number":["MOH-000030-00"]}]},{"DOI":"10.13039\/100010449","name":"Ministry of Education","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100010449","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Higher Education Sprout Project in Taiwan","award":["DP2-109-21121-01-A-03"],"award-info":[{"award-number":["DP2-109-21121-01-A-03"]}]},{"name":"Higher Education Sprout Project in Taiwan","award":["DP2-110-21121-01-A-03"],"award-info":[{"award-number":["DP2-110-21121-01-A-03"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE J. Biomed. Health Inform."],"published-print":{"date-parts":[[2023,8]]},"DOI":"10.1109\/jbhi.2023.3249404","type":"journal-article","created":{"date-parts":[[2023,2,27]],"date-time":"2023-02-27T18:54:38Z","timestamp":1677524078000},"page":"3782-3793","source":"Crossref","is-referenced-by-count":18,"title":["Automatic Calcification Morphology and Distribution Classification for Breast Mammograms With Multi-Task Graph Convolutional Neural Network"],"prefix":"10.1109","volume":"27","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5083-8122","authenticated-orcid":false,"given":"Hao","family":"Du","sequence":"first","affiliation":[{"name":"Saw Swee Hock School of Public Health and Institute of Data Science, National University of Singapore, Singapore"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Melissa Min-Szu","family":"Yao","sequence":"additional","affiliation":[{"name":"Department of Radiology, Wan Fang Hospital and Department of Radiology, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Siqi","family":"Liu","sequence":"additional","affiliation":[{"name":"NUS Graduate School for Integrative Science and Engineering, National University of Singapore, Singapore"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Liangyu","family":"Chen","sequence":"additional","affiliation":[{"name":"School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8322-6336","authenticated-orcid":false,"given":"Wing P.","family":"Chan","sequence":"additional","affiliation":[{"name":"Department of Radiology, Wan Fang Hospital and Department of Radiology, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5338-6248","authenticated-orcid":false,"given":"Mengling","family":"Feng","sequence":"additional","affiliation":[{"name":"Saw Swee Hock School of Public Health and Institute of Data Science, National University of Singapore, Singapore"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.3322\/caac.21660"},{"key":"ref2","volume-title":"American Cancer Society: Cancer Facts and Figures","author":"Cokkinides","year":"2005"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.yasu.2010.05.008"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1186\/1471-2407-14-286"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1038\/sj.bjc.6605873"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2010.5651810"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1097\/mnm.0b013e32834b6e3d"},{"key":"ref8","volume-title":"ACR BI-RADS Atlas: Breast Imaging Reporting and Data System; Mammography, Ultrasound, Magnetic Resonance Imaging, Follow-up and Outcome Monitoring, Data Dictionary","year":"2013"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.amc.2017.05.010"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1007\/s11571-020-09626-1"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0256500"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1002\/cam4.4042"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2021.3085783"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-87234-2_10"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-87234-2_13"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1038\/s41591-020-01174-9"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.3390\/jimaging5090076"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1007\/s12046-018-0805-2"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1117\/12.2315375"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1016\/j.artmed.2004.10.001"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2014.2385102"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2011.11.021"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1007\/s10278-016-9923-8"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2014.04.008"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1007\/s10278-011-9381-2"},{"key":"ref26","first-page":"3844","article-title":"Convolutional neural networks on graphs with fast localized spectral filtering","volume-title":"Proc. 30th Int. Conf. Adv. Neural Inf. Process. Syst.","author":"Defferrard","year":"2016"},{"key":"ref27","article-title":"Semi-supervised classification with graph convolutional networks","author":"Kipf","year":"2016"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00936"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2018.03.011"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1016\/j.cmpb.2016.02.019"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1007\/s10916-019-1316-3"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1145\/3326362"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00479"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1145\/3240508.3240621"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.576"},{"key":"ref36","article-title":"DeepERGCN: All you need to train deeper GCNs","author":"Li","year":"2020"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.5555\/3104322.3104425"},{"key":"ref38","first-page":"794","article-title":"Gradnorm: Gradient normalization for adaptive loss balancing in deep multitask networks","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Chen","year":"2018"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1177\/001316446002000104"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.11613\/BM.2012.031"},{"key":"ref41","article-title":"Apendix tables for automatic calcification morphology and distribution classification for breast mammograms with multi-task graph convolutional neural network","author":"Du","year":"2023"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1038\/sdata.2017.177"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1007\/978-94-011-5318-8_75"},{"key":"ref44","first-page":"8026","article-title":"Pytorch: An imperative style, high-performance deep learning library","volume-title":"Proc. Int. Conf. Adv. Neural Inf. Process. Syst.","volume":"32","author":"Paszke","year":"2019"},{"key":"ref45","article-title":"Fast graph representation learning with pytorch geometric","author":"Fey","year":"2019"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01286"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2019.2903562"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1007\/s10278-019-00227-x"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2018.2814538"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1158\/1078-0432.CCR-18-2495"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.243"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2890127"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1016\/j.zemedi.2018.11.002"},{"key":"ref55","article-title":"MobileNets: Efficient convolutional neural networks for mobile vision applications","author":"Howard","year":"2017"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.5152\/dir.2019.20294"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2018.2868656"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00474"},{"key":"ref59","first-page":"6105","article-title":"EfficientNet: Rethinking model scaling for convolutional neural networks","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Tan","year":"2019"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2020.10.004"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1093\/bib\/bbab159"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2021.102233"},{"key":"ref63","article-title":"Graph attention networks","author":"Velikovi","year":"2017"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-59728-3_61"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-32248-9_89"},{"key":"ref66","article-title":"Feedback graph attention convolutional network for medical image enhancement","author":"Hu","year":"2020"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.1109\/SPIN.2019.8711696"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2005.10.010"},{"key":"ref69","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2008.08.010"},{"key":"ref70","doi-asserted-by":"publisher","DOI":"10.1214\/ss\/1032280214"},{"key":"ref71","doi-asserted-by":"publisher","DOI":"10.1109\/icdm.2009.108"},{"key":"ref72","first-page":"103","article-title":"Bonferroni and idk corrections for multiple comparisons","volume":"3","author":"Abdi","year":"2007","journal-title":"Encyclopedia Meas. Statist."},{"key":"ref73","doi-asserted-by":"publisher","DOI":"10.2214\/AJR.11.8198"},{"key":"ref74","first-page":"9240","article-title":"Gnnexplainer: Generating explanations for graph neural networks","volume-title":"Proc. Int. Conf. Adv. Neural Inf. Process. Syst.","volume":"32","author":"Ying","year":"2019"}],"container-title":["IEEE Journal of Biomedical and Health Informatics"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6221020\/10210140\/10053998.pdf?arnumber=10053998","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,14]],"date-time":"2024-03-14T03:20:48Z","timestamp":1710386448000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10053998\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,8]]},"references-count":74,"journal-issue":{"issue":"8"},"URL":"https:\/\/doi.org\/10.1109\/jbhi.2023.3249404","relation":{},"ISSN":["2168-2194","2168-2208"],"issn-type":[{"value":"2168-2194","type":"print"},{"value":"2168-2208","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,8]]}}}