{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,14]],"date-time":"2026-05-14T02:19:18Z","timestamp":1778725158115,"version":"3.51.4"},"reference-count":37,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"DOI":"10.13039\/501100003725","name":"Basic Research Laboratory through the National Research Foundation of Korea","doi-asserted-by":"publisher","award":["RS-2023-00221365"],"award-info":[{"award-number":["RS-2023-00221365"]}],"id":[{"id":"10.13039\/501100003725","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2025]]},"DOI":"10.1109\/access.2025.3543838","type":"journal-article","created":{"date-parts":[[2025,2,20]],"date-time":"2025-02-20T20:34:32Z","timestamp":1740083672000},"page":"34613-34626","source":"Crossref","is-referenced-by-count":7,"title":["Toward Efficient Cancer Detection on Mobile Devices"],"prefix":"10.1109","volume":"13","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4447-3697","authenticated-orcid":false,"given":"Janghyeon","family":"Lee","sequence":"first","affiliation":[{"name":"Department of Computer Science and Engineering, University of Minnesota, Minneapolis, MN, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4878-4129","authenticated-orcid":false,"given":"Jongyoul","family":"Park","sequence":"additional","affiliation":[{"name":"Department of Applied Artificial Intelligence, Seoul National University of Science and Technology, Seoul, South Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0789-8354","authenticated-orcid":false,"given":"Yongkeun","family":"Lee","sequence":"additional","affiliation":[{"name":"Department of Semiconductor Engineering, Seoul National University of Science and Technology, Seoul, South Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","first-page":"1","article-title":"Exploring the adoption of digital pathology in clinical settings-insights from a cross-continent study","author":"Pinto","year":"2023","journal-title":"medRxiv"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1080\/14737159.2024.2346545"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1038\/s41746-024-01106-8"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.21037\/tcr-23-964"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.jbi.2018.01.005"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2020.3004555"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2014.2330900"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.3390\/app11146380"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2016.2525803"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2017.04.006"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1117\/12.2254671"},{"key":"ref12","article-title":"MobileNets: Efficient convolutional neural networks for mobile vision applications","author":"Howard","year":"2017","journal-title":"arXiv:1704.04861"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00474"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2018.03.032"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ICPR.2018.8545174"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1053\/j.gastro.2018.06.037"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.14445\/22312803\/IJCTT-V68I10P104"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1101\/2020.08.15.20175760"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-023-38350-z"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2024.124113"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1016\/j.engappai.2024.108824"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/EMBC.2018.8512226"},{"key":"ref23","article-title":"Convolution neural networks for diagnosing colon and lung cancer histopathological images","author":"Mangal","year":"2020","journal-title":"arXiv:2009.03878"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.195"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9781107298019"},{"key":"ref26","article-title":"Lung and colon cancer histopathological image dataset (LC25000)","author":"Borkowski","year":"2019","journal-title":"arXiv:1912.12142"},{"key":"ref27","article-title":"Improving generalization performance by switching from Adam to SGD","author":"Shirish Keskar","year":"2017","journal-title":"arXiv:1712.07628"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW54120.2021.00094"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.01544"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00508"},{"key":"ref31","first-page":"1","article-title":"Learning to prune deep neural networks via layer-wise optimal brain surgeon","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"30","author":"Dong"},{"key":"ref32","article-title":"Very deep convolutional networks for large-scale image recognition","author":"Simonyan","year":"2014","journal-title":"arXiv:1409.1556"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.243"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.308"},{"key":"ref36","first-page":"6105","article-title":"EfficientNet: Rethinking model scaling for convolutional neural networks","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Tan"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2024.3407766"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/6287639\/10820123\/10896646.pdf?arnumber=10896646","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,2,26]],"date-time":"2025-02-26T19:08:17Z","timestamp":1740596897000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10896646\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"references-count":37,"URL":"https:\/\/doi.org\/10.1109\/access.2025.3543838","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025]]}}}