{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,14]],"date-time":"2026-04-14T16:26:09Z","timestamp":1776183969075,"version":"3.50.1"},"reference-count":61,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"10","license":[{"start":{"date-parts":[[2022,10,1]],"date-time":"2022-10-01T00:00:00Z","timestamp":1664582400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2022,10,1]],"date-time":"2022-10-01T00:00:00Z","timestamp":1664582400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,10,1]],"date-time":"2022-10-01T00:00:00Z","timestamp":1664582400000},"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":["81971583"],"award-info":[{"award-number":["81971583"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012166","name":"National Key Research and Development Program of China","doi-asserted-by":"publisher","award":["2018YFC1312900"],"award-info":[{"award-number":["2018YFC1312900"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Shanghai Municipal Science and Technology Major Project","award":["2017SHZDZX01"],"award-info":[{"award-number":["2017SHZDZX01"]}]},{"name":"Shanghai Municipal Science and Technology Major Project","award":["2018SHZDZX01"],"award-info":[{"award-number":["2018SHZDZX01"]}]},{"name":"ZJLab"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Med. Imaging"],"published-print":{"date-parts":[[2022,10]]},"DOI":"10.1109\/tmi.2022.3175461","type":"journal-article","created":{"date-parts":[[2022,5,16]],"date-time":"2022-05-16T20:28:31Z","timestamp":1652732911000},"page":"2965-2976","source":"Crossref","is-referenced-by-count":99,"title":["Automatic Liver Tumor Segmentation on Dynamic Contrast Enhanced MRI Using 4D Information: Deep Learning Model Based on 3D Convolution and Convolutional LSTM"],"prefix":"10.1109","volume":"41","author":[{"given":"Rencheng","family":"Zheng","sequence":"first","affiliation":[{"name":"Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence, Ministry of Education, Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China"}]},{"given":"Qidong","family":"Wang","sequence":"additional","affiliation":[{"name":"Department of Radiology, The First Affiliated Hospital, School of Medicine, Zhejiang University, Zhejiang, China"}]},{"given":"Shuangzhi","family":"Lv","sequence":"additional","affiliation":[{"name":"Department of Radiology, The First Affiliated Hospital, School of Medicine, Zhejiang University, Zhejiang, China"}]},{"given":"Cuiping","family":"Li","sequence":"additional","affiliation":[{"name":"Shanghai Zhiyu Software Information Company Ltd., Shanghai, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8890-4973","authenticated-orcid":false,"given":"Chengyan","family":"Wang","sequence":"additional","affiliation":[{"name":"Human Phenome Institute, Fudan University, Shanghai, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4727-3642","authenticated-orcid":false,"given":"Weibo","family":"Chen","sequence":"additional","affiliation":[{"name":"Philips Healthcare, Shanghai, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2053-9439","authenticated-orcid":false,"given":"He","family":"Wang","sequence":"additional","affiliation":[{"name":"Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence, Ministry of Education, Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.2147\/CMAR.S247648"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1002\/hep.29086"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1007\/s00268-005-0718-1"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1186\/s41747-017-0015-4"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-019-45283-z"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1148\/radiol.14141180"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ICCES.2010.5674853"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2016.2628084"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1007\/s11548-016-1493-1"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2022.102680"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2016.05.004"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1117\/12.2254423"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2020.101950"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.artmed.2021.102109"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1148\/radiol.2017171928"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1136\/gutjnl-2018-316204"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1148\/radiol.2018180763"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.2214\/ajr.20.24415"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/s00330-019-06205-9"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1148\/radiol.2017170706"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.54294\/lwmcho"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.54294\/dxbugc"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2012.2211887"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1088\/0031-9155\/60\/16\/6459"},{"key":"ref25","article-title":"Automatic liver and tumor segmentation of CT and MRI volumes using cascaded fully convolutional neural networks","author":"Ferdinand Christ","year":"2017","journal-title":"arXiv:1702.05970"},{"key":"ref26","article-title":"Neural network-based automatic liver tumor segmentation with random forest-based candidate filtering","author":"Chlebus","year":"2017","journal-title":"arXiv:1706.00842"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-24574-4_28"},{"key":"ref28","article-title":"Automatic liver lesion segmentation using a deep convolutional neural network method","author":"Han","year":"2017","journal-title":"arXiv:1704.07239"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/ISBI.2018.8363817"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2018.2845918"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2019.2948320"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1148\/radiol.2017162080"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.3892\/ol.2018.9690"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1002\/hep.29487"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1155\/2016\/3219068"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1148\/radiol.14132361"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1148\/radiol.14132362"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1145\/3167132.3167167"},{"key":"ref40","first-page":"195","article-title":"Automatic liver and tumor segmentation in late-phase MRI using fully convolutional neural networks","volume-title":"Proc. CURAC","author":"Chlebus"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/D14-1179"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2015.7178826"},{"key":"ref44","article-title":"Parallel multi-dimensional LSTM, with application to fast biomedical volumetric image segmentation","author":"Stollenga","year":"2015","journal-title":"arXiv:1506.07452"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/ISBI.2018.8363764"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1002\/mp.14222"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1117\/1.jmi.6.1.011002"},{"key":"ref48","article-title":"Convolutional LSTM network: A machine learning approach for precipitation nowcasting","author":"Shi","year":"2015","journal-title":"arXiv:1506.04214"},{"key":"ref49","article-title":"Combining fully convolutional and recurrent neural networks for 3D biomedical image segmentation","author":"Chen","year":"2016","journal-title":"arXiv:1609.01006"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-52280-7_8"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-00934-2_97"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/CBMS.2019.00130"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2021.105093"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-11726-9_28"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-09002-8_2"},{"key":"ref56","first-page":"126","article-title":"Z-scores and reference curves","volume-title":"Essential Medical Statistics","author":"Kirkwood","year":"2010"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2007.06.004"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46723-8_49"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1038\/s41592-020-01008-z"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.3389\/fbioe.2020.605132"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1148\/radiol.2018181494"}],"container-title":["IEEE Transactions on Medical Imaging"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/42\/9906463\/09775704.pdf?arnumber=9775704","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,22]],"date-time":"2024-01-22T22:22:34Z","timestamp":1705962154000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9775704\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,10]]},"references-count":61,"journal-issue":{"issue":"10"},"URL":"https:\/\/doi.org\/10.1109\/tmi.2022.3175461","relation":{},"ISSN":["0278-0062","1558-254X"],"issn-type":[{"value":"0278-0062","type":"print"},{"value":"1558-254X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,10]]}}}