{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,5]],"date-time":"2026-05-05T15:26:09Z","timestamp":1777994769132,"version":"3.51.4"},"reference-count":57,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"2","license":[{"start":{"date-parts":[[2023,4,1]],"date-time":"2023-04-01T00:00:00Z","timestamp":1680307200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2023,4,1]],"date-time":"2023-04-01T00:00:00Z","timestamp":1680307200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,4,1]],"date-time":"2023-04-01T00:00:00Z","timestamp":1680307200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"Shenzhen Science and Technology Program","award":["KQTD2016112809330877"],"award-info":[{"award-number":["KQTD2016112809330877"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Artif. Intell."],"published-print":{"date-parts":[[2023,4]]},"DOI":"10.1109\/tai.2022.3147440","type":"journal-article","created":{"date-parts":[[2022,2,1]],"date-time":"2022-02-01T15:46:55Z","timestamp":1643730415000},"page":"255-267","source":"Crossref","is-referenced-by-count":15,"title":["Annotation-Efficient COVID-19 Pneumonia Lesion Segmentation Using Error-Aware Unified Semisupervised and Active Learning"],"prefix":"10.1109","volume":"4","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2874-6619","authenticated-orcid":false,"given":"Zhenghan","family":"Fang","sequence":"first","affiliation":[{"name":"Keya Medical Company, Ltd., Shenzhen, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9134-1024","authenticated-orcid":false,"given":"Junjie","family":"Bai","sequence":"additional","affiliation":[{"name":"Keya Medical Company, Ltd., Shenzhen, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7772-315X","authenticated-orcid":false,"given":"Xinyu","family":"Guo","sequence":"additional","affiliation":[{"name":"Keya Medical Company, Ltd., Shenzhen, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xin","family":"Wang","sequence":"additional","affiliation":[{"name":"Keya Medical Company, Ltd., Shenzhen, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Feng","family":"Gao","sequence":"additional","affiliation":[{"name":"Keya Medical Company, Ltd., Shenzhen, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hao-Yu","family":"Yang","sequence":"additional","affiliation":[{"name":"Keya Medical Company, Ltd., Shenzhen, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bin","family":"Kong","sequence":"additional","affiliation":[{"name":"Keya Medical Company, Ltd., Shenzhen, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ying","family":"Hou","sequence":"additional","affiliation":[{"name":"Keya Medical Company, Ltd., Shenzhen, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kunlin","family":"Cao","sequence":"additional","affiliation":[{"name":"Keya Medical Company, Ltd., Shenzhen, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Qi","family":"Song","sequence":"additional","affiliation":[{"name":"Keya Medical Company, Ltd., Shenzhen, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jun","family":"Xia","sequence":"additional","affiliation":[{"name":"Shenzhen Second People&#x2019;s Hospital, Shenzhen, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9913-134X","authenticated-orcid":false,"given":"Youbing","family":"Yin","sequence":"additional","affiliation":[{"name":"Keya Medical Company, Ltd., Shenzhen, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/S0140-6736(20)30566-3"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/S0140-6736(20)30211-7"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1056\/nejmoa2002032"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1001\/jama.2020.1585"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1148\/radiol.2020200905"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1002\/mp.14609"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2020.3000314"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1148\/ryct.2020200082"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1148\/ryct.2020200075"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2020.106897"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-020-76282-0"},{"key":"ref12","article-title":"Machine learning-based CT radiomics model for predicting hospital stay in patients with pneumonia associated with SARS-CoV-2 infection: A multicenter study","volume-title":"Ann. Transl. Med.","volume":"14","author":"Qi","year":"2020"},{"key":"ref13","article-title":"Rapid AI development cycle for the coronavirus (COVID-19) pandemic: Initial results for automated detection & patient monitoring using deep learning CT image analysis","author":"Gozes","year":"2020"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1148\/ryct.2020200044"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/j.jpha.2020.03.004"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2020.2996645"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2021.3058783"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2020.2995965"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/j.cell.2020.04.045"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2021.3067465"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2021.3079709"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2021.101992"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-87196-3_19"},{"key":"ref24","article-title":"Temporal ensembling for semi-supervised learning","author":"Laine","year":"2017"},{"key":"ref25","first-page":"1195","article-title":"Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results","volume-title":"Proc. Int. Conf. Neural Inf. Process. Syst.","author":"Tarvainen","year":"2017"},{"key":"ref26","first-page":"5049","article-title":"Mixmatch: A holistic approach to semi-supervised learning","volume-title":"Proc. Int. Conf. Neural Inf. Process. Syst.","author":"Berthelot","year":"2019"},{"key":"ref27","article-title":"Adversarial learning for semi-supervised semantic segmentation","author":"Hung","year":"2018"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-32245-8_67"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-00937-3_43"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-20351-1_43"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-32248-9_29"},{"key":"ref32","article-title":"Active learning literature survey","author":"Settles","year":"2009"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2021.102062"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-66179-7_46"},{"key":"ref35","article-title":"Cereals-cost-effective region-based active learning for semantic segmentation","author":"Mackowiak","year":"2018"},{"key":"ref36","article-title":"Cost-effective active learning for melanoma segmentation","author":"Gorriz","year":"2017"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00607"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.313"},{"key":"ref39","article-title":"Reinforced active learning for image segmentation","author":"Casanova","year":"2019"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00018"},{"key":"ref41","article-title":"Uncertainty-driven semantic segmentation through human-machine collaborative learning","author":"Ravanbakhsh","year":"2019"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.487"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2018\/97"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/3DV.2016.79"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.123"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.5555\/3295222.3295309"},{"key":"ref47","article-title":"Parting with illusions about deep active learning","author":"Mittal","year":"2019"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-00889-5_21"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-00934-2_65"},{"key":"ref50","first-page":"1183","article-title":"Deep Bayesian active learning with image data","volume-title":"Proc. 34th Int. Conf. Mach. Learn.","author":"Gal","year":"2017"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-24574-4_28"},{"key":"ref52","article-title":"Attention U-Net: Learning where to look for the pancreas","author":"Oktay","year":"2018"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2019.01.012"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2018.2845918"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-00889-5_1"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.1802.02611"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58607-2_30"}],"container-title":["IEEE Transactions on Artificial Intelligence"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9078688\/10081152\/09699409.pdf?arnumber=9699409","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,23]],"date-time":"2025-08-23T01:08:45Z","timestamp":1755911325000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9699409\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,4]]},"references-count":57,"journal-issue":{"issue":"2"},"URL":"https:\/\/doi.org\/10.1109\/tai.2022.3147440","relation":{},"ISSN":["2691-4581"],"issn-type":[{"value":"2691-4581","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,4]]}}}