{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,5]],"date-time":"2026-02-05T12:34:21Z","timestamp":1770294861790,"version":"3.49.0"},"reference-count":61,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"4","license":[{"start":{"date-parts":[[2021,4,1]],"date-time":"2021-04-01T00:00:00Z","timestamp":1617235200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,4,1]],"date-time":"2021-04-01T00:00:00Z","timestamp":1617235200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,4,1]],"date-time":"2021-04-01T00:00:00Z","timestamp":1617235200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"ZheJiang Province Key Research &amp; Development"},{"DOI":"10.13039\/501100012659","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["81671766"],"award-info":[{"award-number":["81671766"]}],"id":[{"id":"10.13039\/501100012659","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012659","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61971369"],"award-info":[{"award-number":["61971369"]}],"id":[{"id":"10.13039\/501100012659","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012659","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["U19B2031"],"award-info":[{"award-number":["U19B2031"]}],"id":[{"id":"10.13039\/501100012659","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012659","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["U1605252"],"award-info":[{"award-number":["U1605252"]}],"id":[{"id":"10.13039\/501100012659","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012659","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61671309"],"award-info":[{"award-number":["61671309"]}],"id":[{"id":"10.13039\/501100012659","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Open Fund of Science and Technology on Automatic Target Recognition Laboratory","award":["6142503190202"],"award-info":[{"award-number":["6142503190202"]}]},{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"publisher","award":["20720180059"],"award-info":[{"award-number":["20720180059"]}],"id":[{"id":"10.13039\/501100012226","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"publisher","award":["20720190116"],"award-info":[{"award-number":["20720190116"]}],"id":[{"id":"10.13039\/501100012226","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"publisher","award":["20720200003"],"award-info":[{"award-number":["20720200003"]}],"id":[{"id":"10.13039\/501100012226","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Tencent Open Fund"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE J. Biomed. Health Inform."],"published-print":{"date-parts":[[2021,4]]},"DOI":"10.1109\/jbhi.2020.3021558","type":"journal-article","created":{"date-parts":[[2020,9,3]],"date-time":"2020-09-03T21:37:30Z","timestamp":1599169050000},"page":"1163-1172","source":"Crossref","is-referenced-by-count":16,"title":["Curriculum Feature Alignment Domain Adaptation for Epithelium-Stroma Classification in Histopathological Images"],"prefix":"10.1109","volume":"25","author":[{"given":"Qi","family":"Qi","sequence":"first","affiliation":[]},{"given":"Xin","family":"Lin","sequence":"additional","affiliation":[]},{"given":"Chaoqi","family":"Chen","sequence":"additional","affiliation":[]},{"given":"Weiping","family":"Xie","sequence":"additional","affiliation":[]},{"given":"Yue","family":"Huang","sequence":"additional","affiliation":[]},{"given":"Xinghao","family":"Ding","sequence":"additional","affiliation":[]},{"given":"Xiaoqing","family":"Liu","sequence":"additional","affiliation":[]},{"given":"Yizhou","family":"Yu","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref39","first-page":"2988","article-title":"Asymmetric tri-training for unsupervised domain adaptation","author":"saito","year":"0","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref38","first-page":"2110","article-title":"Learning transferrable representations for unsupervised domain adaptation","author":"sener","year":"0","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.316"},{"key":"ref32","first-page":"357","article-title":"Just dial: Domain alignment layers for unsupervised domain adaptation","author":"carlucci","year":"0","journal-title":"Proc Int Conf Image Anal Process"},{"key":"ref31","first-page":"5077","article-title":"Autodial: Automatic domain alignment layers","author":"carlucci","year":"0","journal-title":"Proc IEEE Int Conf Comput Vis"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33013296"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00234"},{"key":"ref36","first-page":"5423","article-title":"Learning semantic representations for unsupervised domain adaptation","author":"xie","year":"0","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref35","first-page":"1180","article-title":"Unsupervised domain adaptation by backpropagation","author":"ganin","year":"0","journal-title":"Proc 32th Annu Int Conf Mach Learn"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2020.105962"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1162\/neco.2006.18.7.1527"},{"key":"ref61","first-page":"3288","article-title":"Convolutional neural networks applied to house numbers digit classification","author":"sermanet","year":"0","journal-title":"Proc 21st Int Conf Pattern Recognit"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2016.2535302"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2016.2528162"},{"key":"ref29","first-page":"34","article-title":"Domain adaptation: Learning bounds and algorithms","author":"mansour","year":"0","journal-title":"Proc 22nd Annu Conf Learn Theory"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1159\/000365165"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1038\/bjc.2014.69"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-31808-0_10"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2016.01.034"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1186\/1746-1596-7-22"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2009.191"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2017.09.015"},{"key":"ref26","first-page":"82","article-title":"Unsupervised pre-training across image domains improves lung tissue classification","author":"schlegl","year":"0","journal-title":"Proc Int MICCAI Workshop Med Comput Vis"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1007\/s11704-016-6903-6"},{"key":"ref50","first-page":"2208","article-title":"Deep transfer learning with joint adaptation networks","volume":"70","author":"long","year":"0","journal-title":"Proc 34th Int Conf Mach Learn"},{"key":"ref51","article-title":"Sequential minimal optimization: A fast algorithm for training support vector machines","author":"platt","year":"1998"},{"key":"ref59","doi-asserted-by":"crossref","first-page":"436","DOI":"10.1038\/nature14539","article-title":"Deep learning","volume":"521","author":"lecun","year":"2015","journal-title":"Nature"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.88"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00851"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1007\/s10994-009-5152-4"},{"key":"ref55","first-page":"647","article-title":"DeCAF: A deep convolutional activation feature for generic visual recognition","author":"donahue","year":"0","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/5.726791"},{"key":"ref53","first-page":"1","article-title":"DLID: Deep learning for domain adaptation by interpolating between domains","volume":"2","author":"chopra","year":"0","journal-title":"Proc ICML Workshop Challenges Representation Learn"},{"key":"ref52","first-page":"512","article-title":"Domain adaptation for large-scale sentiment classication: A deep learning approach","author":"glorot","year":"0","journal-title":"Proc 29th Annu Int Conf Mach Learn"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2017.7952321"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2017.2691738"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00400"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1111\/jmi.12705"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00072"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2018.2885134"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/BIBM.2015.7359726"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.4103\/2153-3539.179984"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2014.12.012"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2002.1017623"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/83.941859"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/s10549-010-0855-6"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1078\/0344-0338-00295"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejso.2012.01.002"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1007\/s13277-012-0411-6"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.humpath.2007.04.008"},{"key":"ref7","first-page":"2546","article-title":"Modified scar grade: A prognostic indicator in smallperipheral lung adenocarcinoma","volume":"95","author":"maeshima","year":"2002","journal-title":"Cancer Interdiscip Int J Am Cancer Soc"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref9","doi-asserted-by":"crossref","first-page":"108","DOI":"10.1126\/scitranslmed.3002564","article-title":"Systematic analysis of breast cancer morphology uncovers stromal features associated with survival","volume":"3","author":"beck","year":"2011","journal-title":"Sci Transl Med"},{"key":"ref46","first-page":"6892","article-title":"Bayesian adversarial learning","volume":"31","author":"ye","year":"0","journal-title":"Proc 32nd Int Conf Neural Inf Process Syst"},{"key":"ref45","first-page":"2391","article-title":"Adversarial variational bayes: Unifying variational autoencoders and generative adversarial networks","volume":"70","author":"mescheder","year":"0","journal-title":"Proc 34th Annu Int Conf Mach Learn"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1145\/3065386"},{"key":"ref47","first-page":"343","article-title":"Domain separation networks","author":"bousmalis","year":"0","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1145\/1553374.1553380"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1016\/S0378-3758(00)00115-4"},{"key":"ref44","first-page":"1","article-title":"Adversarial autoencoders","author":"makhzani","year":"0","journal-title":"Proc Int Conf Learn Representations Workshop"},{"key":"ref43","first-page":"1","article-title":"Pseudo-label: The simple and efficient semisupervised learning method for deep neural networks","volume":"3","author":"lee","year":"0","journal-title":"Proc Workshop Challenges Representation Learn"}],"container-title":["IEEE Journal of Biomedical and Health Informatics"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6221020\/9395648\/09186277.pdf?arnumber=9186277","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T14:53:26Z","timestamp":1652194406000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9186277\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,4]]},"references-count":61,"journal-issue":{"issue":"4"},"URL":"https:\/\/doi.org\/10.1109\/jbhi.2020.3021558","relation":{},"ISSN":["2168-2194","2168-2208"],"issn-type":[{"value":"2168-2194","type":"print"},{"value":"2168-2208","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,4]]}}}