{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,4]],"date-time":"2026-06-04T16:15:06Z","timestamp":1780589706110,"version":"3.54.1"},"reference-count":75,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"9","license":[{"start":{"date-parts":[[2024,9,1]],"date-time":"2024-09-01T00:00:00Z","timestamp":1725148800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2024,9,1]],"date-time":"2024-09-01T00:00:00Z","timestamp":1725148800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,9,1]],"date-time":"2024-09-01T00:00:00Z","timestamp":1725148800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"Chinese Key-Area Research and Development Program of Guangdong Province","award":["2020B0101350001"],"award-info":[{"award-number":["2020B0101350001"]}]},{"DOI":"10.13039\/501100021171","name":"Basic and Applied Basic Research Foundation of Guangdong Province","doi-asserted-by":"publisher","award":["2023A1515011464"],"award-info":[{"award-number":["2023A1515011464"]}],"id":[{"id":"10.13039\/501100021171","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62102267"],"award-info":[{"award-number":["62102267"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Guangdong Provincial Key Laboratory of Big Data Computing, The Chinese University of Hong Kong, Shenzhen"},{"name":"National Key Clinical Discipline"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Med. Imaging"],"published-print":{"date-parts":[[2024,9]]},"DOI":"10.1109\/tmi.2024.3388328","type":"journal-article","created":{"date-parts":[[2024,4,12]],"date-time":"2024-04-12T17:28:31Z","timestamp":1712942911000},"page":"3149-3160","source":"Crossref","is-referenced-by-count":15,"title":["Structure Embedded Nucleus Classification for Histopathology Images"],"prefix":"10.1109","volume":"43","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2071-4081","authenticated-orcid":false,"given":"Wei","family":"Lou","sequence":"first","affiliation":[{"name":"Shenzhen Research Institute of Big Data, Guangdong Provincial Key Laboratory of Big Data Computing, The Chinese University of Hong Kong at Shenzhen, Shenzhen, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2324-6527","authenticated-orcid":false,"given":"Xiang","family":"Wan","sequence":"additional","affiliation":[{"name":"Shenzhen Research Institute of Big Data, Guangdong Provincial Key Laboratory of Big Data Computing, The Chinese University of Hong Kong at Shenzhen, Shenzhen, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4805-0926","authenticated-orcid":false,"given":"Guanbin","family":"Li","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0007-0427-5449","authenticated-orcid":false,"given":"Xiaoying","family":"Lou","sequence":"additional","affiliation":[{"name":"Department of Pathology, Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Diseases, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chenghang","family":"Li","sequence":"additional","affiliation":[{"name":"Artificial Intelligence Thrust, The Hong Kong University of Science and Technology at Guangzhou, Guangzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0500-5527","authenticated-orcid":false,"given":"Feng","family":"Gao","sequence":"additional","affiliation":[{"name":"Department of Colorectal Surgery, Department of General Surgery, Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Diseases, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9120-9843","authenticated-orcid":false,"given":"Haofeng","family":"Li","sequence":"additional","affiliation":[{"name":"Shenzhen Research Institute of Big Data, Guangdong Provincial Key Laboratory of Big Data Computing, The Chinese University of Hong Kong at Shenzhen, Shenzhen, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/RBME.2023.3297604"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2022.119452"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1038\/s41374-018-0095-7"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-019-46718-3"},{"key":"ref5","first-page":"1899","article-title":"Automated grading of gliomas using deep learning in digital pathology images: A modular approach with ensemble of convolutional neural networks","volume-title":"Proc. AMIA Annu. Symp.","author":"Ertosun"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1038\/s41523-018-0079-1"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00397"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2022.3149936"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2019.101563"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2022.02.020"},{"key":"ref11","first-page":"1","article-title":"Semi-supervised classification with graph convolutional networks","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Kipf"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/BIBE50027.2020.00060"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00489"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-87196-3_59"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00801"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/IEMBS.2011.6091628"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.5220\/0005247900370046"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2017.2705583"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/ICARCV.2018.8581147"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.3389\/fonc.2019.01045"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2022.102685"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2016.2525803"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1007\/s11548-017-1663-9"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2024.103143"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.4236\/jct.2022.137041"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-59722-1_27"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2021.102117"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-43993-3_55"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2023.3237013"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1016\/j.compmedimag.2018.08.010"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.01955"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-43993-3_57"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1038\/s41592-024-02233-6"},{"key":"ref34","first-page":"1","article-title":"Multi-stream cell segmentation with low-level cues for multi-modality images","volume-title":"Proc. Competitions Neural Inf. Process. Syst.","author":"Lou"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.322"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1007\/s11334-023-00537-y"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2021.3050668"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-20351-1_53"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2020.101786"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00135"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW.2019.00050"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/ISBI45749.2020.9098534"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-59713-9_29"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/ICPR48806.2021.9412535"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2020.3021387"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2022.102480"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1038\/s41551-022-00923-0"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2021.102264"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2022.3176598"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2023.3273236"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2020.101696"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1117\/12.2550636"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/bth933"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.477"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-00934-2_30"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7299024"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.273"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2016.2631122"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1007\/s41095-023-0364-2"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.106"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.1706.03762"},{"key":"ref62","article-title":"DeeperGCN: All you need to train deeper GCNs","author":"Li","year":"2020","journal-title":"arXiv:2006.07739"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2021.3074057"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.324"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.1016\/j.bspc.2023.104626"},{"key":"ref66","article-title":"PanNuke dataset extension, insights and baselines","author":"Gamper","year":"2020","journal-title":"arXiv:2003.10778"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2021.3085712"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.1038\/ng.2764"},{"key":"ref69","doi-asserted-by":"publisher","DOI":"10.2307\/j.ctvcm4g18.8"},{"key":"ref70","first-page":"1","article-title":"Fast graph representation learning with Pytorch geometric","volume-title":"Proc. ICLR Workshop Represent. Learn. Graphs Manifolds","author":"Fey"},{"key":"ref71","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206848"},{"key":"ref72","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2019.2927182"},{"key":"ref73","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00963"},{"key":"ref74","volume-title":"Essential Cell Biology","author":"Alberts","year":"2015"},{"key":"ref75","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2021.102104"}],"container-title":["IEEE Transactions on Medical Imaging"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/42\/10663877\/10497696.pdf?arnumber=10497696","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,9,4]],"date-time":"2024-09-04T17:59:04Z","timestamp":1725472744000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10497696\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,9]]},"references-count":75,"journal-issue":{"issue":"9"},"URL":"https:\/\/doi.org\/10.1109\/tmi.2024.3388328","relation":{},"ISSN":["0278-0062","1558-254X"],"issn-type":[{"value":"0278-0062","type":"print"},{"value":"1558-254X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,9]]}}}