{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,19]],"date-time":"2026-05-19T05:13:16Z","timestamp":1779167596995,"version":"3.51.4"},"reference-count":43,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2026]]},"DOI":"10.1109\/access.2026.3692455","type":"journal-article","created":{"date-parts":[[2026,5,12]],"date-time":"2026-05-12T19:50:05Z","timestamp":1778615405000},"page":"72724-72745","source":"Crossref","is-referenced-by-count":0,"title":["Performance and Efficiency Trade-Off Analysis of Modern CNN Architectures for Automated Stem Cell Colony Quality Assessment"],"prefix":"10.1109","volume":"14","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0666-891X","authenticated-orcid":false,"given":"Hatice Hilal","family":"Gurleyen","sequence":"first","affiliation":[{"name":"Department of Computer Engineering, Institute of Natural Sciences, Sakarya University, Sakarya, T&#x00FC;rkiye"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5005-8604","authenticated-orcid":false,"given":"Nejat","family":"Yumusak","sequence":"additional","affiliation":[{"name":"Department of Computer Engineering, Institute of Natural Sciences, Sakarya University, Sakarya, T&#x00FC;rkiye"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1038\/nrd.2016.245"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1126\/science.1151526"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1186\/s13287-019-1455-y"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1111\/cpr.13247"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1126\/science.282.5391.1145"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.cell.2006.07.024"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1038\/nature10761"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1038\/nmeth.3507"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.celrep.2015.04.007"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.bbrc.2006.05.086"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.stemcr.2014.03.011"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1242\/dmm.042317"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.34133\/2022\/9861263"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2017.07.005"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1038\/s41592-019-0403-1"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1007\/s10462-024-11080-y"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.3390\/en16052112"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/j.dcan.2024.11.003"},{"key":"ref19","first-page":"6105","article-title":"EfficientNet: Rethinking model scaling for convolutional neural networks","volume-title":"Proc. 36th Int. Conf. Mach. Learn. (ICML)","author":"Tan"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1016\/j.commatsci.2019.109203"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.3390\/ijms24010140"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1016\/j.cmpb.2021.106235"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/indin51400.2023.10217929"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/access.2021.3056553"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2020.104172"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.3389\/fcell.2023.1329840"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1016\/j.stemcr.2019.02.004"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.3390\/cells13060534"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/bibe50027.2020.00105"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1038\/s41467-021-22758-0"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/access.2025.3558621"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.3390\/microorganisms13071617"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1016\/j.advwatres.2025.104952"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/access.2025.3552626"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1016\/j.cmpb.2023.107816"},{"key":"ref36","first-page":"1","article-title":"Very deep convolutional networks for large-scale image recognition","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Simonyan"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46493-0_38"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.243"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/tpami.2019.2918284"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/cvpr.2016.308"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/iccv.2019.00140"},{"key":"ref43","first-page":"10096","article-title":"EfficientNetV2: Smaller models and faster training","volume-title":"Proc. 38th Int. Conf. Mach. Learn. (ICML)","author":"Tan"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/6287639\/11323511\/11516133.pdf?arnumber=11516133","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,5,19]],"date-time":"2026-05-19T04:40:22Z","timestamp":1779165622000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11516133\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026]]},"references-count":43,"URL":"https:\/\/doi.org\/10.1109\/access.2026.3692455","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026]]}}}