{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,10]],"date-time":"2026-04-10T06:27:52Z","timestamp":1775802472285,"version":"3.50.1"},"reference-count":57,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"2","license":[{"start":{"date-parts":[[2025,4,1]],"date-time":"2025-04-01T00:00:00Z","timestamp":1743465600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2025,4,1]],"date-time":"2025-04-01T00:00:00Z","timestamp":1743465600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,4,1]],"date-time":"2025-04-01T00:00:00Z","timestamp":1743465600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["11771160"],"award-info":[{"award-number":["11771160"]}],"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":["62276105"],"award-info":[{"award-number":["62276105"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Natural Science Foundation of Xiamen","award":["3502Z202373042"],"award-info":[{"award-number":["3502Z202373042"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Big Data"],"published-print":{"date-parts":[[2025,4]]},"DOI":"10.1109\/tbdata.2024.3378062","type":"journal-article","created":{"date-parts":[[2024,3,18]],"date-time":"2024-03-18T19:48:07Z","timestamp":1710791287000},"page":"359-371","source":"Crossref","is-referenced-by-count":3,"title":["Weakly-Supervised Cross-Domain Segmentation of Electron Microscopy With Sparse Point Annotation"],"prefix":"10.1109","volume":"11","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7196-7302","authenticated-orcid":false,"given":"Dafei","family":"Qiu","sequence":"first","affiliation":[{"name":"College of Computer Science and Technology, Huaqiao University, Xiamen, Fujian, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0008-9579-606X","authenticated-orcid":false,"given":"Shan","family":"Xiong","sequence":"additional","affiliation":[{"name":"College of Computer Science and Technology, Huaqiao University, Xiamen, Fujian, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3849-6753","authenticated-orcid":false,"given":"Jiajin","family":"Yi","sequence":"additional","affiliation":[{"name":"College of Computer Science and Technology, Huaqiao University, Xiamen, Fujian, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1797-0762","authenticated-orcid":false,"given":"Jialin","family":"Peng","sequence":"additional","affiliation":[{"name":"College of Computer Science and Technology, Huaqiao University, Xiamen, Fujian, China"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.cell.2012.02.035"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejcb.2023.151365"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1038\/s42255-022-00594-w"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.celrep.2022.111151"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-24574-4_28"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2572683"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2021.3062380"},{"key":"ref8","first-page":"97","article-title":"Learning transferable features with deep adaptation networks","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Long"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.5555\/2946645.2946704"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00780"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/JSTSP.2020.3005317"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01087"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2022.102515"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2021.108341"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/WACV.2018.00127"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/BIBM55620.2022.9995167"},{"key":"ref17","article-title":"Segmented anisotropic ssTEM dataset of neural tissue","author":"Gerhard","year":"2013"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2013.259"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/RBME.2016.2515127"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2018.12.003"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2021.107485"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2019.2961792"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1016\/j.cmpb.2020.105925"},{"key":"ref24","first-page":"111","article-title":"Fast mitochondria detection for connectomics","volume-title":"Proc. Med. Imag. Deep Learn.","author":"Casser"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.3389\/fnana.2018.00092"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00523"},{"key":"ref27","article-title":"Box-adapt: Domain-adaptive medical image segmentation using bounding boxsupervision","volume-title":"arXiv:2108.08432","author":"Xu"},{"key":"ref28","article-title":"WITS: Weakly-supervised individual tooth segmentation model trained on box-level labels","volume":"133","author":"Xie","year":"2022","journal-title":"Pattern Recognit."},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-59710-8_47"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2021.102182"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2020.3046292"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1007\/978-981-15-3651-9_12"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46478-7_34"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-59722-1_29"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2020.3002244"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2020.3024262"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2022.118016"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2022.117697"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00968"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46493-0_36"},{"key":"ref41","first-page":"1989","article-title":"CyCADA: Cycle-consistent adversarial domain adaptation","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Hoffman"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/ISBI.2019.8759383"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-16440-8_9"},{"key":"ref44","first-page":"289","article-title":"Domain adaptation for semantic segmentation via class-balanced self-training","volume-title":"Proc. Eur. Conf. Comput. Vis.","author":"Zou"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01513"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58545-7_33"},{"key":"ref47","article-title":"ESL: Entropy-guided self-supervised learning for domain adaptation in semantic segmentation","author":"Saporta","year":"2020"},{"key":"ref48","article-title":"Pseudo-label: The simple and efficient semi-supervised learning method for deep neural networks","volume-title":"Proc. Workshop Challenges Representation Learn. Int. Conf. Mach. Learn.","author":"Lee"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.70"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00612"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1016\/j.cell.2015.06.054"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-59722-1_7"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.1995.466871"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2017.2677499"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00963"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2017.2699184"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"}],"container-title":["IEEE Transactions on Big Data"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6687317\/10925345\/10473097.pdf?arnumber=10473097","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,3,17]],"date-time":"2025-03-17T21:17:38Z","timestamp":1742246258000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10473097\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,4]]},"references-count":57,"journal-issue":{"issue":"2"},"URL":"https:\/\/doi.org\/10.1109\/tbdata.2024.3378062","relation":{},"ISSN":["2332-7790","2372-2096"],"issn-type":[{"value":"2332-7790","type":"electronic"},{"value":"2372-2096","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,4]]}}}