{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,11]],"date-time":"2026-07-11T04:05:49Z","timestamp":1783742749591,"version":"3.55.0"},"reference-count":46,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"12","license":[{"start":{"date-parts":[[2022,12,1]],"date-time":"2022-12-01T00:00:00Z","timestamp":1669852800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2022,12,1]],"date-time":"2022-12-01T00:00:00Z","timestamp":1669852800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,12,1]],"date-time":"2022-12-01T00:00:00Z","timestamp":1669852800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/100016692","name":"Key Research and Development Program of Ningxia Hui Nationality Autonomous Region","doi-asserted-by":"publisher","award":["2022BEG02025"],"award-info":[{"award-number":["2022BEG02025"]}],"id":[{"id":"10.13039\/100016692","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100015401","name":"Key Research and Development Program of Shaanxi Province","doi-asserted-by":"publisher","award":["2021GXLH-Z-095"],"award-info":[{"award-number":["2021GXLH-Z-095"]}],"id":[{"id":"10.13039\/501100015401","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"Innovative Research Group of the National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61721002"],"award-info":[{"award-number":["61721002"]}],"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":["62106191"],"award-info":[{"award-number":["62106191"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100019069","name":"Consulting Research Project of the Chinese Academy of Engineering (The Online and Offline Mixed Educational Service System for The Belt and Road Training in Massive Open Online Courses","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100019069","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012455","name":"Project of China Knowledge Centre for Engineering Science and Technology","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100012455","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Innovation Team from the Ministry of Education","award":["IRT_17R86"],"award-info":[{"award-number":["IRT_17R86"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Med. Imaging"],"published-print":{"date-parts":[[2022,12]]},"DOI":"10.1109\/tmi.2022.3191398","type":"journal-article","created":{"date-parts":[[2022,7,15]],"date-time":"2022-07-15T15:37:49Z","timestamp":1657899469000},"page":"3611-3623","source":"Crossref","is-referenced-by-count":25,"title":["Unsupervised Representation Learning for Tissue Segmentation in Histopathological Images: From Global to Local Contrast"],"prefix":"10.1109","volume":"41","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2365-8318","authenticated-orcid":false,"given":"Zeyu","family":"Gao","sequence":"first","affiliation":[{"name":"School of Computer Science and Technology, Xi’an Jiaotong University, Xi’an, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chang","family":"Jia","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology, Xi’an Jiaotong University, Xi’an, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yang","family":"Li","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology, Xi’an Jiaotong University, Xi’an, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1995-3904","authenticated-orcid":false,"given":"Xianli","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology, Xi’an Jiaotong University, Xi’an, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Bangyang","family":"Hong","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology, Xi’an Jiaotong University, Xi’an, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jialun","family":"Wu","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology, Xi’an Jiaotong University, Xi’an, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3840-441X","authenticated-orcid":false,"given":"Tieliang","family":"Gong","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology, Xi’an Jiaotong University, Xi’an, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chunbao","family":"Wang","sequence":"additional","affiliation":[{"name":"Department of Pathology, The First Affiliated Hospital, Xi’an Jiaotong University, Xi’an, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1294-8283","authenticated-orcid":false,"given":"Deyu","family":"Meng","sequence":"additional","affiliation":[{"name":"School of Mathematics and Statistics, Xi’an Jiaotong University, Xi’an, 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 Jarvis Laboratory, Shenzhen, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0079-3106","authenticated-orcid":false,"given":"Chen","family":"Li","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology, Xi’an Jiaotong University, Xi’an, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2020.04.154"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/BIBM.2018.8621393"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2012.120"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1016\/j.mlwa.2021.100198"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/ISBI45749.2020.9098534"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2019.2936841"},{"key":"ref37","doi-asserted-by":"crossref","first-page":"202","DOI":"10.1038\/nature13480","article-title":"Comprehensive molecular characterization of gastric adenocarcinoma","volume":"513","author":"bass","year":"2014","journal-title":"Nature"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1016\/j.cell.2015.09.033"},{"key":"ref35","doi-asserted-by":"crossref","first-page":"61","DOI":"10.1038\/nature11412","article-title":"Comprehensive molecular portraits of human breast tumours","volume":"490","author":"koboldt","year":"2012","journal-title":"Nature"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2020.3024262"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00975"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2020.3040269"},{"key":"ref11","article-title":"Contrastive learning of medical visual representations from paired images and text","author":"zhang","year":"2020","journal-title":"arXiv 2010 00747"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00346"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1177\/1066896913517939"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/btz083"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1001\/jama.2017.14585"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1038\/s41467-021-21674-7"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1007\/s11517-019-02008-8"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2019.101563"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-87237-3_13"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/3DV.2016.79"},{"key":"ref28","article-title":"Contrastive learning of global and local features for medical image segmentation with limited annotations","author":"chaitanya","year":"2020","journal-title":"arXiv 2006 10511"},{"key":"ref3","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":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01641"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1093\/annonc\/mdu450"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-78191-0_29"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-00889-5_1"},{"key":"ref8","first-page":"15535","article-title":"Learning representations by maximizing mutual information across views","author":"bachman","year":"2019","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.3389\/fimmu.2019.00071"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/B978-0-12-810408-8.00011-0"},{"key":"ref9","first-page":"1597","article-title":"A simple framework for contrastive learning of visual representations","author":"chen","year":"2020","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2016.08.008"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298965"},{"key":"ref46","first-page":"1","article-title":"Visualizing data using t-SNE","volume":"9","author":"van der maaten","year":"2008","journal-title":"J Mach Learn Res"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01398"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2018.2865709"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2017.2677499"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00264"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.3389\/fonc.2020.586292"},{"key":"ref41","first-page":"1196","article-title":"Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results","volume":"30","author":"tarvainen","year":"2017","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2016.01.034"},{"key":"ref26","first-page":"21271","article-title":"Bootstrap your own latent: A new approach to self-supervised learning","author":"grill","year":"2020","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref44","year":"0","journal-title":"Digestive-System Pathological Detection and Segmentation Challenge (Digestpath) 2019 in Conjunct With MICCAI 2019"},{"key":"ref25","article-title":"Representation learning with contrastive predictive coding","author":"van den oord","year":"2018","journal-title":"arXiv 1807 03748"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"}],"container-title":["IEEE Transactions on Medical Imaging"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/42\/9969446\/09830779.pdf?arnumber=9830779","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,22]],"date-time":"2025-10-22T17:24:44Z","timestamp":1761153884000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9830779\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,12]]},"references-count":46,"journal-issue":{"issue":"12"},"URL":"https:\/\/doi.org\/10.1109\/tmi.2022.3191398","relation":{},"ISSN":["0278-0062","1558-254X"],"issn-type":[{"value":"0278-0062","type":"print"},{"value":"1558-254X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,12]]}}}