{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,31]],"date-time":"2026-01-31T07:52:19Z","timestamp":1769845939051,"version":"3.49.0"},"reference-count":50,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"6","license":[{"start":{"date-parts":[[2024,6,1]],"date-time":"2024-06-01T00:00:00Z","timestamp":1717200000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2024,6,1]],"date-time":"2024-06-01T00:00:00Z","timestamp":1717200000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,6,1]],"date-time":"2024-06-01T00:00:00Z","timestamp":1717200000000},"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":["81925011"],"award-info":[{"award-number":["81925011"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["92149304"],"award-info":[{"award-number":["92149304"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Key-Area Research and Development Program of Guangdong Province","award":["2019B030335001"],"award-info":[{"award-number":["2019B030335001"]}]},{"name":"Youth Beijing Scholars Program"},{"name":"Chinese Institutes for Medical Research, Beijing","award":["CX23YZ03"],"award-info":[{"award-number":["CX23YZ03"]}]},{"name":"Henan Province Science and Technology Research","award":["232102310315"],"award-info":[{"award-number":["232102310315"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE J. Biomed. Health Inform."],"published-print":{"date-parts":[[2024,6]]},"DOI":"10.1109\/jbhi.2024.3379280","type":"journal-article","created":{"date-parts":[[2024,3,20]],"date-time":"2024-03-20T18:24:00Z","timestamp":1710959040000},"page":"3660-3671","source":"Crossref","is-referenced-by-count":8,"title":["RandStainNA++: Enhance Random Stain Augmentation and Normalization Through Foreground and Background Differentiation"],"prefix":"10.1109","volume":"28","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6920-208X","authenticated-orcid":false,"given":"Chong","family":"Wang","sequence":"first","affiliation":[{"name":"School of Biological Science and Medical Engineering, Beihang University, Beijing, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-3039-8451","authenticated-orcid":false,"given":"Shuxin","family":"Li","sequence":"additional","affiliation":[{"name":"College of Medical Engineering, Xinxiang Medical University, Xinxiang, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7459-257X","authenticated-orcid":false,"given":"Jing","family":"Ke","sequence":"additional","affiliation":[{"name":"School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7940-8054","authenticated-orcid":false,"given":"Chen","family":"Zhang","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Neurology and Oncology Drug Development, Nanjing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7866-3339","authenticated-orcid":false,"given":"Yiqing","family":"Shen","sequence":"additional","affiliation":[{"name":"School of Department of Computer Science, Johns Hopkins University, Baltimore, MD, USA"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2018.2867350"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1038\/nbt.4314"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-87199-4_11"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.00994"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/ISBI.2017.7950492"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2022.102580"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2021.102004"},{"key":"ref8","article-title":"An image is worth 16x16 words: Transformers for image recognition at scale","author":"Dosovitskiy","year":"2020"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1145\/3422622"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2020.101788"},{"key":"ref11","volume-title":"Data Mining: Concepts and Techniques","author":"Han","year":"2022"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00140"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pmed.1002730"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-87237-3_55"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/ISBI48211.2021.9434078"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2014.2303294"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1002\/9780470230367"},{"key":"ref19","first-page":"1097","article-title":"ImageNet classification with deep convolutional neural networks","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"25","author":"Krizhevsky","year":"2012"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2019.2947628"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2015.2405791"},{"key":"ref22","article-title":"Detecting cancer metastases on gigapixel pathology images","author":"Liu","year":"2017"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00986"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01167"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1038\/s41551-020-00682-w"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01264-9_8"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-59722-1_30"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1182\/blood.2020010568"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-59722-1_35"},{"key":"ref30","article-title":"Smooth Grad-CAM++ : An enhanced inference level visualization technique for deep convolutional neural network models","author":"Omeiza","year":"2019"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TSMC.1979.4310076"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/38.946629"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.74"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/ISBI.2019.8759152"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-16434-7_21"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2022.3221724"},{"key":"ref37","first-page":"596","article-title":"Fixmatch: Simplifying semi-supervised learning with consistency and confidence","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"33","author":"Sohn","year":"2020"},{"key":"ref38","first-page":"6105","article-title":"Efficientnet: Rethinking model scaling for convolutional neural networks","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Tan","year":"2019"},{"key":"ref39","first-page":"264","article-title":"H and E stain augmentation improves generalization of convolutional networks for histopathological mitosis detection","volume-title":"Proc. SPIE","volume":"10581","author":"Tellez","year":"2018"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2018.2820199"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2019.101544"},{"issue":"11","key":"ref42","first-page":"2579","article-title":"Visualizing data using t-SNE","volume":"9","author":"Maaten","year":"2008","journal-title":"J. Mach. Learn. Res."},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-87237-3_25"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-16434-7_15"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33015565"},{"key":"ref46","article-title":"Robust and generalizable visual representation learning via random convolutions","author":"Xu","year":"2020"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/ISBI.2018.8363641"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2023.107580"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-32239-7_77"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-20351-1_53"}],"container-title":["IEEE Journal of Biomedical and Health Informatics"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6221020\/10550931\/10475387.pdf?arnumber=10475387","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,1,15]],"date-time":"2025-01-15T20:08:23Z","timestamp":1736971703000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10475387\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,6]]},"references-count":50,"journal-issue":{"issue":"6"},"URL":"https:\/\/doi.org\/10.1109\/jbhi.2024.3379280","relation":{},"ISSN":["2168-2194","2168-2208"],"issn-type":[{"value":"2168-2194","type":"print"},{"value":"2168-2208","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,6]]}}}