{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,7,30]],"date-time":"2025-07-30T16:07:31Z","timestamp":1753891651639,"version":"3.41.2"},"reference-count":3,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2022,11,11]],"date-time":"2022-11-11T00:00:00Z","timestamp":1668124800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["frontiersin.org"],"crossmark-restriction":true},"short-container-title":["Front. Neuroinform."],"DOI":"10.3389\/fninf.2022.1079240","type":"journal-article","created":{"date-parts":[[2022,11,11]],"date-time":"2022-11-11T07:52:40Z","timestamp":1668153160000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Editorial: Weakly supervised deep learning-based methods for brain image analysis"],"prefix":"10.3389","volume":"16","author":[{"given":"Hancan","family":"Zhu","sequence":"first","affiliation":[]},{"given":"Mingxia","family":"Liu","sequence":"additional","affiliation":[]},{"given":"Zhenyu","family":"Tang","sequence":"additional","affiliation":[]},{"given":"Shuai","family":"Wang","sequence":"additional","affiliation":[]}],"member":"1965","published-online":{"date-parts":[[2022,11,11]]},"reference":[{"key":"B1","doi-asserted-by":"publisher","first-page":"1301","DOI":"10.1038\/s41591-019-0508-1","article-title":"Clinical-grade computational pathology using weakly supervised deep learning on whole slide images","volume":"25","author":"Campanella","year":"2019","journal-title":"Nat. Med"},{"key":"B2","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2022.102474","article-title":"Benchmarking weakly-supervised deep learning pipelines for whole slide classification in computational pathology","author":"Laleh","year":"2022","journal-title":"Med. Image Anal"},{"key":"B3","doi-asserted-by":"publisher","first-page":"221","DOI":"10.1146\/annurev-bioeng-071516-044442","article-title":"Deep learning in medical image analysis","volume":"19","author":"Shen","year":"2017","journal-title":"Ann. Rev. Biomed. Eng"}],"container-title":["Frontiers in Neuroinformatics"],"original-title":[],"link":[{"URL":"https:\/\/www.frontiersin.org\/articles\/10.3389\/fninf.2022.1079240\/full","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,11,11]],"date-time":"2022-11-11T07:52:43Z","timestamp":1668153163000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.frontiersin.org\/articles\/10.3389\/fninf.2022.1079240\/full"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,11,11]]},"references-count":3,"alternative-id":["10.3389\/fninf.2022.1079240"],"URL":"https:\/\/doi.org\/10.3389\/fninf.2022.1079240","relation":{},"ISSN":["1662-5196"],"issn-type":[{"type":"electronic","value":"1662-5196"}],"subject":[],"published":{"date-parts":[[2022,11,11]]},"article-number":"1079240"}}