{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,30]],"date-time":"2026-06-30T23:14:32Z","timestamp":1782861272932,"version":"3.54.5"},"reference-count":32,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"5","license":[{"start":{"date-parts":[[2022,5,1]],"date-time":"2022-05-01T00:00:00Z","timestamp":1651363200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2022,5,1]],"date-time":"2022-05-01T00:00:00Z","timestamp":1651363200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,5,1]],"date-time":"2022-05-01T00:00:00Z","timestamp":1651363200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/100008637","name":"NIH\/NCI","doi-asserted-by":"publisher","award":["R21CA220352"],"award-info":[{"award-number":["R21CA220352"]}],"id":[{"id":"10.13039\/100008637","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Med. Imaging"],"published-print":{"date-parts":[[2022,5]]},"DOI":"10.1109\/tmi.2021.3135002","type":"journal-article","created":{"date-parts":[[2021,12,13]],"date-time":"2021-12-13T21:02:23Z","timestamp":1639429343000},"page":"1176-1187","source":"Crossref","is-referenced-by-count":34,"title":["PathAL: An Active Learning Framework for Histopathology Image Analysis"],"prefix":"10.1109","volume":"41","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3489-2647","authenticated-orcid":false,"given":"Wenyuan","family":"Li","sequence":"first","affiliation":[{"name":"Department of Electrical and Computer Engineering, Computational Diagnostics Laboratory and Medical Imaging Informatics, UCLA, Los Angeles, CA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3957-3538","authenticated-orcid":false,"given":"Jiayun","family":"Li","sequence":"additional","affiliation":[{"name":"Department of Bioengineering, Computational Diagnostics Laboratory and Medical Imaging Informatics, UCLA, Los Angeles, CA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zichen","family":"Wang","sequence":"additional","affiliation":[{"name":"Department of Bioengineering, Computational Diagnostics Laboratory and Medical Imaging Informatics, UCLA, Los Angeles, CA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0518-4841","authenticated-orcid":false,"given":"Jennifer","family":"Polson","sequence":"additional","affiliation":[{"name":"Department of Bioengineering, Computational Diagnostics Laboratory and Medical Imaging Informatics, UCLA, Los Angeles, CA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Anthony E.","family":"Sisk","sequence":"additional","affiliation":[{"name":"Department of Pathology and Laboratory Medicine, UCLA, Los Angeles, CA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Dipti P.","family":"Sajed","sequence":"additional","affiliation":[{"name":"Department of Pathology and Laboratory Medicine, UCLA, Los Angeles, CA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0890-8684","authenticated-orcid":false,"given":"William","family":"Speier","sequence":"additional","affiliation":[{"name":"Department of Radiological Sciences and Bioinformatics, Computational Diagnostics Laboratory and Medical Imaging Informatics, UCLA, Los Angeles, CA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4119-8143","authenticated-orcid":false,"given":"Corey W.","family":"Arnold","sequence":"additional","affiliation":[{"name":"Department of Radiological Sciences and the Department of Pathology and Laboratory Medicine, Computational Diagnostics Laboratory and Medical Imaging Informatics, UCLA, Los Angeles, CA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2017.07.005"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.jcma.2012.02.001"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2019.03.009"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2021.102062"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/ISBI.2018.8363518"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ISBI.2019.8759203"},{"key":"ref7","first-page":"227","article-title":"Comparison of different classifiers with active learning to support quality control in nucleus segmentation in pathology images","volume":"2018","author":"Wen","year":"2018","journal-title":"AMIA Summits Transl. Sci."},{"key":"ref8","article-title":"Deep Bayesian active learning with image data","volume-title":"arXiv:1703.02910","author":"Gal","year":"2017"},{"key":"ref9","article-title":"Bayesian active learning for classification and preference learning","volume-title":"arXiv:1112.5745","author":"Houlsby","year":"2011"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-00931-1_82"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.cviu.2019.01.007"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-66179-7_46"},{"key":"ref13","article-title":"MedAL: Deep active learning sampling method for medical image analysis","volume-title":"arXiv:1809.09287","author":"Smailagic","year":"2018"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-00889-5_21"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-00889-5_10"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2016.2589879"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2020.101759"},{"key":"ref18","article-title":"Understanding black-box predictions via influence functions","volume-title":"arXiv:1703.04730","author":"Koh","year":"2017"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00571"},{"key":"ref20","first-page":"8527","article-title":"Co-teaching: Robust training of deep neural networks with extremely noisy labels","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Han"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01249-6_9"},{"key":"ref22","first-page":"2304","article-title":"MentorNet: Learning data-driven curriculum for very deep neural networks on corrupted labels","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Jiang"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00342"},{"key":"ref24","article-title":"Training deep neural-networks using a noise adaptation layer","volume-title":"Proc. 5th Int. Conf. Learn. Represent. (ICLR)","author":"Goldberger"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298885"},{"key":"ref26","article-title":"Training deep neural networks on noisy labels with bootstrapping","volume-title":"arXiv:1412.6596","author":"Reed","year":"2014"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1007\/s10479-011-0841-3"},{"key":"ref28","article-title":"EfficientNet: Rethinking model scaling for convolutional neural networks","volume-title":"arXiv:1905.11946","author":"Tan","year":"2019"},{"key":"ref29","article-title":"Image-based patch selection for deep learning to improve automated Gleason grading in histopathological slides","author":"Speier","year":"2020","journal-title":"bioRxiv"},{"key":"ref30","first-page":"1050","article-title":"Dropout as a Bayesian approximation: Representing model uncertainty in deep learning","volume-title":"Proc. 33rd Int. Conf. Mach. Learn.","volume":"48","author":"Gal"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00607"},{"key":"ref32","article-title":"Active learning for convolutional neural networks: A core-set approach","volume-title":"arXiv:1708.00489","author":"Sener","year":"2017"}],"container-title":["IEEE Transactions on Medical Imaging"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/42\/9766219\/09648200.pdf?arnumber=9648200","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,13]],"date-time":"2024-03-13T23:13:17Z","timestamp":1710371597000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9648200\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,5]]},"references-count":32,"journal-issue":{"issue":"5"},"URL":"https:\/\/doi.org\/10.1109\/tmi.2021.3135002","relation":{},"ISSN":["0278-0062","1558-254X"],"issn-type":[{"value":"0278-0062","type":"print"},{"value":"1558-254X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,5]]}}}