{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,25]],"date-time":"2026-01-25T20:15:44Z","timestamp":1769372144569,"version":"3.49.0"},"reference-count":65,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"name":"University of Malaya RU Geran, Malaysia","award":["ST005-2020"],"award-info":[{"award-number":["ST005-2020"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2020]]},"DOI":"10.1109\/access.2020.3028390","type":"journal-article","created":{"date-parts":[[2020,10,2]],"date-time":"2020-10-02T20:19:51Z","timestamp":1601669991000},"page":"182347-182354","source":"Crossref","is-referenced-by-count":34,"title":["An Overview of Deep Learning Approaches in Chest Radiograph"],"prefix":"10.1109","volume":"8","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7621-3147","authenticated-orcid":false,"given":"Shazia","family":"Anis","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8602-0533","authenticated-orcid":false,"given":"Khin Wee","family":"Lai","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9058-3497","authenticated-orcid":false,"given":"Joon Huang","family":"Chuah","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2783-0026","authenticated-orcid":false,"given":"Shoaib Mohammad","family":"Ali","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5861-5049","authenticated-orcid":false,"given":"Hamidreza","family":"Mohafez","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Maryam","family":"Hadizadeh","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0960-7744","authenticated-orcid":false,"given":"Ding","family":"Yan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1686-3551","authenticated-orcid":false,"given":"Zhi-Chao","family":"Ong","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1155\/2017\/2727686"},{"key":"ref38","article-title":"Deep learning for abnormality detection in chest X-ray images","author":"tataru","year":"2017","journal-title":"Proc IEEE Conf Deep Learn"},{"key":"ref33","article-title":"Abnormality detection and localization in chest X-rays using deep convolutional neural networks","author":"islam","year":"2017"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1016\/j.cmpb.2019.105162"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1155\/2018\/1437125"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1049\/iet-ipr.2016.0526"},{"key":"ref37","article-title":"Abnormality detection and localization in chest X-rays using deep convolutional neural networks","author":"islam","year":"2017","journal-title":"arXiv 1705 09850"},{"key":"ref36","article-title":"Deep learning with non-medical training used for chest pathology identification","volume":"9414","author":"bar","year":"2015","journal-title":"Proc SPIE"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1016\/j.crad.2018.12.015"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1007\/s11517-016-1594-6"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1016\/j.cmpb.2019.06.005"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2018.2806086"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2020.2974159"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1007\/s00521-019-04532-y"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1016\/j.cmpb.2018.04.011"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-40605-9_11"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1016\/j.cmpb.2018.05.006"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-00889-5_30"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1016\/j.cmpb.2019.01.005"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pmed.1002683"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1148\/radiol.2413051535"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1378\/chest.115.3.720"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1007\/s13244-016-0534-1"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1259\/bjr.72.856.10474490"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1016\/j.crad.2007.12.002"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1016\/S0009-9260(97)80280-2"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1088\/0031-9155\/60\/10\/4015"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1088\/0031-9155\/60\/7\/2715"},{"key":"ref50","article-title":"CheXNet: Radiologist-level pneumonia detection on chest X-Rays with deep learning","author":"rajpurkar","year":"2017","journal-title":"arXiv 1711 05225"},{"key":"ref51","article-title":"A novel approach for tuberculosis screening based on deep convolutional neural networks","volume":"9785","author":"hwang","year":"2016","journal-title":"Proc SPIE"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1007\/s11277-018-5702-9"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/ICCE-China.2018.8448537"},{"key":"ref57","article-title":"Lung image Ssgmentation using deep learning methods and convolutional neural networks","author":"kalinovsky","year":"2016"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.369"},{"key":"ref55","article-title":"Large scale automated reading of frontal and lateral chest X-rays using dual convolutional neural networks","author":"rubin","year":"2018","journal-title":"arXiv 1804 07839"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298965"},{"key":"ref53","first-page":"91","article-title":"Faster R-CNN: Towards real-time object detection with region proposal networks","author":"ren","year":"2015","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.3301590"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.measurement.2019.05.076"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.2174\/1573405615666190114151255"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1166\/jmihi.2019.2563"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.mpmed.2018.05.007"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1117\/1.JMI.4.3.037001"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.procs.2019.09.314"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.2214\/ajr.153.6.1221"},{"key":"ref16","first-page":"3","article-title":"Discrepancy and error in radiology: Concepts, causes and consequences","volume":"81","author":"brady","year":"2012","journal-title":"Ulst Med J"},{"key":"ref17","first-page":"3","article-title":"Discrepancy and error in radiology: Concepts, causes and consequences","volume":"81","author":"brady","year":"2012","journal-title":"Ulst Med J"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1259\/bjr.70.839.9536897"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.2214\/ajr.165.4.7676967"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2016.2535865"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1148\/radiol.2017162326"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-91008-6_63"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.diii.2019.11.002"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2017.2775636"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.2974242"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1148\/radiol.2018180237"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-00934-2_62"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2020.103792"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1016\/j.chaos.2020.109944"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejrad.2019.108774"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1016\/j.cmpb.2020.105581"},{"key":"ref42","article-title":"COVID-net: A tailored deep convolutional neural network design for detection of COVID-19 cases from chest X-ray images","author":"wang","year":"2020","journal-title":"arXiv 2003 09871"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1016\/j.imu.2020.100306"},{"key":"ref44","article-title":"COVID-19 detection using deep learning models to exploit social mimic optimization and structured chest X-ray images using fuzzy color and stacking approaches","volume":"121","author":"to?a\u00e7ar","year":"2020","journal-title":"Comput Biol Med"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1016\/j.mehy.2020.109761"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/8948470\/09211471.pdf?arnumber=9211471","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,12,17]],"date-time":"2021-12-17T19:56:20Z","timestamp":1639770980000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9211471\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"references-count":65,"URL":"https:\/\/doi.org\/10.1109\/access.2020.3028390","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020]]}}}