{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,11]],"date-time":"2026-06-11T21:06:24Z","timestamp":1781211984715,"version":"3.54.1"},"reference-count":19,"publisher":"IEEE","license":[{"start":{"date-parts":[[2022,3,28]],"date-time":"2022-03-28T00:00:00Z","timestamp":1648425600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,3,28]],"date-time":"2022-03-28T00:00:00Z","timestamp":1648425600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,3,28]]},"DOI":"10.1109\/isbi52829.2022.9761644","type":"proceedings-article","created":{"date-parts":[[2022,4,26]],"date-time":"2022-04-26T19:39:34Z","timestamp":1651001974000},"page":"1-5","source":"Crossref","is-referenced-by-count":33,"title":["Weakly Supervised Nuclei Segmentation Via Instance Learning"],"prefix":"10.1109","author":[{"given":"Weizhen","family":"Liu","sequence":"first","affiliation":[{"name":"ShanghaiTech University,School of Information Science and Technology"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Qian","family":"He","sequence":"additional","affiliation":[{"name":"ShanghaiTech University,School of Information Science and Technology"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xuming","family":"He","sequence":"additional","affiliation":[{"name":"ShanghaiTech University,School of Information Science and Technology"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref10","article-title":"Un-supervised instance segmentation in microscopy images via panoptic domain adaptation and task re-weighting","author":"liu","year":"2020","journal-title":"CVPR"},{"key":"ref11","article-title":"Pdam: A panoptic-level feature alignment framework for unsupervised domain adaptive instance segmentation in microscopy images","author":"liu","year":"2020","journal-title":"IEEE TMI"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00106"},{"key":"ref13","article-title":"Minimizing labeling cost for nuclei instance segmentation and classification with cross-domain images and weak labels","author":"yang","year":"2021","journal-title":"AAAI"},{"key":"ref14","article-title":"Semantic instance segmentation with a discriminative loss function","author":"de brabandere","year":"2017"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2017.2677499"},{"key":"ref16","article-title":"Segmentation of nuclei in histopathology images by deep regression of the distance map","author":"naylor","year":"2018","journal-title":"IEEE TMI"},{"key":"ref17","article-title":"An intriguing failing of convolutional neural networks and the co-ordconv solution","author":"liu","year":"2018","journal-title":"NeurIPS"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2015.2433900"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-59722-1_29"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-32239-7_81"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ISBI45749.2020.9098518"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/ISBI48211.2021.9433963"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-32239-7_72"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-59722-1_19"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2020.3002244"},{"key":"ref1","article-title":"Weakly supervised deep nuclei segmentation using points annotation in histopathology images","author":"qu","year":"2019","journal-title":"MIDL"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00873"}],"event":{"name":"2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI)","location":"Kolkata, India","start":{"date-parts":[[2022,3,28]]},"end":{"date-parts":[[2022,3,31]]}},"container-title":["2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9761376\/9761399\/09761644.pdf?arnumber=9761644","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,27]],"date-time":"2022-06-27T21:06:36Z","timestamp":1656363996000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9761644\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,3,28]]},"references-count":19,"URL":"https:\/\/doi.org\/10.1109\/isbi52829.2022.9761644","relation":{},"subject":[],"published":{"date-parts":[[2022,3,28]]}}}