{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,8]],"date-time":"2026-04-08T05:51:03Z","timestamp":1775627463784,"version":"3.50.1"},"reference-count":63,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"8","license":[{"start":{"date-parts":[[2020,8,1]],"date-time":"2020-08-01T00:00:00Z","timestamp":1596240000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,8,1]],"date-time":"2020-08-01T00:00:00Z","timestamp":1596240000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-009"},{"start":{"date-parts":[[2020,8,1]],"date-time":"2020-08-01T00:00:00Z","timestamp":1596240000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-001"}],"funder":[{"name":"Wuhan Science and Technology Program","award":["2018060401011326"],"award-info":[{"award-number":["2018060401011326"]}]},{"name":"Hubei Provincial Novel Pneumonia Emergency Science and Technology Project","award":["2020FCA021"],"award-info":[{"award-number":["2020FCA021"]}]},{"DOI":"10.13039\/501100003397","name":"Huazhong University of Science and Technology Novel Coronavirus Pneumonia Emergency Science and Technology Project","doi-asserted-by":"publisher","award":["2020kfyXGYJ014"],"award-info":[{"award-number":["2020kfyXGYJ014"]}],"id":[{"id":"10.13039\/501100003397","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003399","name":"Novel Coronavirus Special Research Foundation of the Shanghai Municipal Science and Technology Commission","doi-asserted-by":"publisher","award":["20441900600"],"award-info":[{"award-number":["20441900600"]}],"id":[{"id":"10.13039\/501100003399","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Key Emergency Project of Pneumonia Epidemic of Novel Coronavirus Infection","award":["2020sk3006"],"award-info":[{"award-number":["2020sk3006"]}]},{"DOI":"10.13039\/501100002822","name":"Emergency Project of Prevention and Control for COVID-19 of Central South University","doi-asserted-by":"publisher","award":["60260005"],"award-info":[{"award-number":["60260005"]}],"id":[{"id":"10.13039\/501100002822","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["81871337"],"award-info":[{"award-number":["81871337"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["6204100022"],"award-info":[{"award-number":["6204100022"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012166","name":"National Basic Research Program of China","doi-asserted-by":"publisher","award":["2018YFC0116400"],"award-info":[{"award-number":["2018YFC0116400"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003399","name":"Science and Technology Commission of Shanghai Municipality","doi-asserted-by":"publisher","award":["19QC1400600"],"award-info":[{"award-number":["19QC1400600"]}],"id":[{"id":"10.13039\/501100003399","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003399","name":"Science and Technology Commission of Shanghai Municipality","doi-asserted-by":"publisher","award":["17411953300"],"award-info":[{"award-number":["17411953300"]}],"id":[{"id":"10.13039\/501100003399","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Med. Imaging"],"published-print":{"date-parts":[[2020,8]]},"DOI":"10.1109\/tmi.2020.2995508","type":"journal-article","created":{"date-parts":[[2020,5,18]],"date-time":"2020-05-18T22:24:24Z","timestamp":1589840664000},"page":"2595-2605","source":"Crossref","is-referenced-by-count":319,"title":["Dual-Sampling Attention Network for Diagnosis of COVID-19 From Community Acquired Pneumonia"],"prefix":"10.1109","volume":"39","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7841-5359","authenticated-orcid":false,"given":"Xi","family":"Ouyang","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9811-0368","authenticated-orcid":false,"given":"Jiayu","family":"Huo","sequence":"additional","affiliation":[]},{"given":"Liming","family":"Xia","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7519-2172","authenticated-orcid":false,"given":"Fei","family":"Shan","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0344-4745","authenticated-orcid":false,"given":"Jun","family":"Liu","sequence":"additional","affiliation":[]},{"given":"Zhanhao","family":"Mo","sequence":"additional","affiliation":[]},{"given":"Fuhua","family":"Yan","sequence":"additional","affiliation":[]},{"given":"Zhongxiang","family":"Ding","sequence":"additional","affiliation":[]},{"given":"Qi","family":"Yang","sequence":"additional","affiliation":[]},{"given":"Bin","family":"Song","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1522-9943","authenticated-orcid":false,"given":"Feng","family":"Shi","sequence":"additional","affiliation":[]},{"given":"Huan","family":"Yuan","sequence":"additional","affiliation":[]},{"given":"Ying","family":"Wei","sequence":"additional","affiliation":[]},{"given":"Xiaohuan","family":"Cao","sequence":"additional","affiliation":[]},{"given":"Yaozong","family":"Gao","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0636-9912","authenticated-orcid":false,"given":"Dijia","family":"Wu","sequence":"additional","affiliation":[]},{"given":"Qian","family":"Wang","sequence":"additional","affiliation":[]},{"given":"Dinggang","family":"Shen","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref39","article-title":"A deep learning algorithm using CT images to screen for Corona Virus Disease (COVID-19)","author":"wang","year":"2020","journal-title":"medRxiv"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1148\/radiol.2017161659"},{"key":"ref33","year":"2018","journal-title":"Rsna pneumonia detection challenge"},{"key":"ref32","article-title":"CheXNet: Radiologist-level pneumonia detection on chest X-rays with deep learning","author":"rajpurkar","year":"2017","journal-title":"arXiv 1711 05225"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1097\/RTI.0000000000000347"},{"key":"ref30","article-title":"Large-scale screening of COVID-19 from community acquired pneumonia using infection size-aware classification","author":"shi","year":"2020","journal-title":"arXiv 2003 09860"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1097\/RLI.0000000000000127"},{"key":"ref36","first-page":"181","article-title":"Radiological diagnosis in lung disease: Factoring treatment options into the choice of diagnostic modality","volume":"111","author":"wielp\u00fctz","year":"2014","journal-title":"Deutsches Ärzteblatt Int"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.322"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.324"},{"key":"ref60","first-page":"807","article-title":"Rectified linear units improve restricted Boltzmann machines","author":"nair","year":"2010","journal-title":"Proc 27th Int Conf Mach Learn (ICML)"},{"key":"ref62","article-title":"Adam: A method for stochastic optimization","author":"kingma","year":"2014","journal-title":"arXiv 1412 6980"},{"key":"ref61","first-page":"8024","article-title":"PyTorch: An imperative style, high-performance deep learning library","author":"paszke","year":"2019","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2005.09.054"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.319"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1631\/FITEE.1700808"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.74"},{"key":"ref2","year":"2020","journal-title":"Who Director-General’s Remarks at the Media Briefing on 2019-NCOV"},{"key":"ref1","year":"2020","journal-title":"Coronavirus Disease 2019 (COVID-19) Situation Report 80"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1007\/s10278-019-00254-8"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1148\/radiol.2017162725"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1148\/radiol.2017170706"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1148\/radiol.2017162326"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1038\/s41591-019-0447-x"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-40763-5_50"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.3301590"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.3233\/IDA-2002-6504"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00949"},{"key":"ref59","article-title":"Network in network","author":"lin","year":"2013","journal-title":"arXiv 1312 4400"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/3DV.2016.79"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00960"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01096"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00745"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00326"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00813"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1613\/jair.953"},{"key":"ref10","article-title":"Lung infection quantification of COVID-19 in CT images with deep learning","author":"shan","year":"2020","journal-title":"arXiv 2003 04655"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1038\/nature14539"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1016\/j.eng.2020.04.010"},{"key":"ref12","first-page":"1097","article-title":"ImageNet classification with deep convolutional neural networks","author":"krizhevsky","year":"2012","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.243"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46976-8_18"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.369"},{"key":"ref17","first-page":"234","article-title":"U-net: Convolutional networks for biomedical image segmentation","author":"ronneberger","year":"2015","journal-title":"Proc Int Conf Med Image Comput Comput -Assist Intervent"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1989.1.4.541"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1155\/2019\/2045432"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1001\/jama.2020.2648"},{"key":"ref3","year":"2020","journal-title":"Coronavirus Disease (COVID-2019) Situation Reports"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1148\/radiol.2020200490"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1136\/bmj.m641"},{"key":"ref8","doi-asserted-by":"crossref","DOI":"10.1148\/radiol.2020200642","article-title":"Correlation of chest CT and RT-PCR testing in coronavirus disease 2019 (COVID-19) in China: A report of 1014 cases","author":"ai","year":"2020","journal-title":"Radiology"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/S0140-6736(20)30154-9"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2008.239"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1148\/radiol.2020200230"},{"key":"ref46","article-title":"BBN: Bilateral-branch network with cumulative learning for long-tailed visual recognition","author":"zhou","year":"2019","journal-title":"arXiv 1912 02413"},{"key":"ref45","article-title":"The devil is in the tails: Fine-grained classification in the wild","author":"van horn","year":"2017","journal-title":"arXiv 1709 01450"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46478-7_29"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2018.07.011"},{"key":"ref42","article-title":"Recurrent residual convolutional neural network based on U-Net (R2U-Net) for medical image segmentation","author":"zahangir alom","year":"2018","journal-title":"arXiv 1802 06955"},{"key":"ref41","article-title":"Deep learning enables accurate diagnosis of novel coronavirus (COVID-19) with CT images","author":"song","year":"2020","journal-title":"medRxiv"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00685"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/RBME.2020.2987975"}],"container-title":["IEEE Transactions on Medical Imaging"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/42\/9153182\/09095328.pdf?arnumber=9095328","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,4,27]],"date-time":"2022-04-27T13:59:23Z","timestamp":1651067963000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9095328\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,8]]},"references-count":63,"journal-issue":{"issue":"8"},"URL":"https:\/\/doi.org\/10.1109\/tmi.2020.2995508","relation":{},"ISSN":["0278-0062","1558-254X"],"issn-type":[{"value":"0278-0062","type":"print"},{"value":"1558-254X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,8]]}}}