{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,1]],"date-time":"2026-06-01T22:02:36Z","timestamp":1780351356970,"version":"3.54.1"},"reference-count":43,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"11","license":[{"start":{"date-parts":[[2022,11,1]],"date-time":"2022-11-01T00:00:00Z","timestamp":1667260800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2022,11,1]],"date-time":"2022-11-01T00:00:00Z","timestamp":1667260800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,11,1]],"date-time":"2022-11-01T00:00:00Z","timestamp":1667260800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"Research Grant Council of Hong Kong under General Research Fund","award":["14205419"],"award-info":[{"award-number":["14205419"]}]},{"name":"Scientific and Technical Innovation 2030-\u201cNew Generation Artificial Intelligence\u201d","award":["2020AAA0104100"],"award-info":[{"award-number":["2020AAA0104100"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Med. Imaging"],"published-print":{"date-parts":[[2022,11]]},"DOI":"10.1109\/tmi.2022.3176915","type":"journal-article","created":{"date-parts":[[2022,5,23]],"date-time":"2022-05-23T20:50:15Z","timestamp":1653339015000},"page":"3062-3073","source":"Crossref","is-referenced-by-count":61,"title":["Anti-Interference From Noisy Labels: Mean-Teacher-Assisted Confident Learning for Medical Image Segmentation"],"prefix":"10.1109","volume":"41","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1950-0959","authenticated-orcid":false,"given":"Zhe","family":"Xu","sequence":"first","affiliation":[{"name":"Department of Biomedical Engineering, The Chinese University of Hong Kong, Hong Kong, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8399-7410","authenticated-orcid":false,"given":"Donghuan","family":"Lu","sequence":"additional","affiliation":[{"name":"Tencent Healthcare (Shenzhen) Company Ltd., Shenzhen, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jie","family":"Luo","sequence":"additional","affiliation":[{"name":"Brigham and Women&#x2019;s Hospital, Harvard Medical School, Boston, MA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8062-0765","authenticated-orcid":false,"given":"Yixin","family":"Wang","sequence":"additional","affiliation":[{"name":"Department of Bioengineering, Stanford University, Stanford, CA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0767-1726","authenticated-orcid":false,"given":"Jiangpeng","family":"Yan","sequence":"additional","affiliation":[{"name":"Department of Automation, Tsinghua University, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2805-3692","authenticated-orcid":false,"given":"Kai","family":"Ma","sequence":"additional","affiliation":[{"name":"Tencent Healthcare (Shenzhen) Company Ltd., Shenzhen, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2195-2847","authenticated-orcid":false,"given":"Yefeng","family":"Zheng","sequence":"additional","affiliation":[{"name":"Tencent Healthcare (Shenzhen) Company Ltd., Shenzhen, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4375-653X","authenticated-orcid":false,"given":"Raymond Kai-Yu","family":"Tong","sequence":"additional","affiliation":[{"name":"Department of Biomedical Engineering, The Chinese University of Hong Kong, Hong Kong, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-87193-2_1"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58558-7_46"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-78191-0_40"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-32226-7_64"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-59710-8_70"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-59719-1_25"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1007\/BF00116829"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1613\/jair.1.12125"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1186\/s12880-020-00435-w"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-32251-9_46"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2019.101539"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2020.2995319"},{"key":"ref13","first-page":"1195","article-title":"Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Tarvainen"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2019\/504"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2022.3162043"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-66179-7_65"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2016.2621185"},{"key":"ref18","first-page":"1","article-title":"Training deep neural-networks using a noise adaptation layer","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Goldberger"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/ISBI.2019.8759203"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00927"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.5555\/1642194.1642224"},{"key":"ref22","first-page":"1062","article-title":"Understanding and utilizing deep neural networks trained with noisy labels","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Chen"},{"key":"ref23","article-title":"What uncertainties do we need in Bayesian deep learning for computer vision?","author":"Kendall","year":"2017","journal-title":"arXiv:1703.04977"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-20351-1_43"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-32245-8_67"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2020.101832"},{"key":"ref27","volume-title":"3DIRCADb Dataset","year":"2021"},{"key":"ref28","article-title":"A large annotated medical image dataset for the development and evaluation of segmentation algorithms","author":"Simpson","year":"2019","journal-title":"arXiv:1902.09063"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/42.845178"},{"key":"ref30","first-page":"215","article-title":"Semi-automatic segmentation of the liver and its evaluation on the MICCAI 2007 grand challenge data set","volume-title":"Proc. 3D Segmentation Clinic, Grand Challenge","author":"Dawant"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1117\/12.2551252"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2004.825627"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2020.02.018"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/ICTSS.2013.6588092"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.29007\/wsww"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/3DV.2016.79"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-24574-4_28"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.324"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2020.101851"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2018.2845918"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.2214\/AJR.12.10234"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1016\/s1361-8415(98)80009-1"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1016\/j.array.2019.100004"}],"container-title":["IEEE Transactions on Medical Imaging"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/42\/9931396\/09779756.pdf?arnumber=9779756","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,24]],"date-time":"2024-01-24T02:24:01Z","timestamp":1706063041000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9779756\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,11]]},"references-count":43,"journal-issue":{"issue":"11"},"URL":"https:\/\/doi.org\/10.1109\/tmi.2022.3176915","relation":{},"ISSN":["0278-0062","1558-254X"],"issn-type":[{"value":"0278-0062","type":"print"},{"value":"1558-254X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,11]]}}}