{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,11]],"date-time":"2026-02-11T13:47:35Z","timestamp":1770817655904,"version":"3.50.1"},"reference-count":42,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"3","license":[{"start":{"date-parts":[[2021,3,1]],"date-time":"2021-03-01T00:00:00Z","timestamp":1614556800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,3,1]],"date-time":"2021-03-01T00:00:00Z","timestamp":1614556800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,3,1]],"date-time":"2021-03-01T00:00:00Z","timestamp":1614556800000},"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":["61771397"],"award-info":[{"award-number":["61771397"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Science and Technology Innovation Committee of Shenzhen Municipality, China","award":["JCYJ20180306171334997"],"award-info":[{"award-number":["JCYJ20180306171334997"]}]},{"DOI":"10.13039\/501100002663","name":"Northwestern Polytechnical University","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100002663","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE J. Biomed. Health Inform."],"published-print":{"date-parts":[[2021,3]]},"DOI":"10.1109\/jbhi.2020.3008759","type":"journal-article","created":{"date-parts":[[2020,7,13]],"date-time":"2020-07-13T21:16:10Z","timestamp":1594674970000},"page":"774-783","source":"Crossref","is-referenced-by-count":41,"title":["Deep Reinforcement Learning for Weakly-Supervised Lymph Node Segmentation in CT Images"],"prefix":"10.1109","volume":"25","author":[{"given":"Zhe","family":"Li","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9273-2847","authenticated-orcid":false,"given":"Yong","family":"Xia","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2019.2959609"},{"key":"ref38","doi-asserted-by":"crossref","first-page":"529","DOI":"10.1038\/nature14236","article-title":"Human-level control through deep reinforcement learning","volume":"518","author":"mnih","year":"2015","journal-title":"Nature"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.148"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.180"},{"key":"ref31","article-title":"Playing atari with deep reinforcement learning","author":"mnih","year":"2013","journal-title":"arXiv 1312 5602"},{"key":"ref30","first-page":"1","article-title":"Deep learning enables automated localization of the metastatic lymph node for thyroid cancer on 131I post-ablation whole-body planar scans","volume":"10","author":"kavitha","year":"2020","journal-title":"Sci Rep"},{"key":"ref37","first-page":"234","article-title":"U-Net: Convolutional networks for biomedical image segmentation","author":"ronneberger","year":"0","journal-title":"Proc Med Image Comput Comput -Assisted Intervention"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00965"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1007\/s10278-013-9622-7"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.286"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-018-32441-y"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.164"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2011.2168234"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-24571-3_7"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1117\/1.JMI.5.3.036501"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.191"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.181"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.344"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.203"},{"key":"ref18","first-page":"1243","article-title":"Learning to combine foveal glimpses with a third-order Boltzmann machine","author":"larochelle","year":"0","journal-title":"Proc Advances Neural Inf Process Syst"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2014.2319246"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2016.2635662"},{"key":"ref4","first-page":"896","article-title":"Unexplained lymphadenopathy: Evaluation and differential diagnosis","volume":"94","author":"gaddey","year":"2016","journal-title":"Amer Family Physician"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2019.2928056"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejca.2008.10.026"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/BIBM.2016.7822557"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2020.2997760"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2013.2242901"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46723-8_45"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2019.2891526"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.compmedimag.2019.01.006"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-00937-3_46"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2019.2943401"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00946"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2019.2911588"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1145\/1015706.1015720"},{"key":"ref42","first-page":"8024","article-title":"PyTorch: An imperative style, high-performance deep learning library","author":"paszke","year":"0","journal-title":"Proc Advances Neural Inf Process Syst"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/JSTSP.2008.2011107"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01234-2_49"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1118\/1.3654162"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1016\/j.acra.2007.09.001"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-17274-8_31"}],"container-title":["IEEE Journal of Biomedical and Health Informatics"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6221020\/9371311\/09139329.pdf?arnumber=9139329","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T14:53:22Z","timestamp":1652194402000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9139329\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,3]]},"references-count":42,"journal-issue":{"issue":"3"},"URL":"https:\/\/doi.org\/10.1109\/jbhi.2020.3008759","relation":{},"ISSN":["2168-2194","2168-2208"],"issn-type":[{"value":"2168-2194","type":"print"},{"value":"2168-2208","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,3]]}}}