{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,17]],"date-time":"2026-03-17T05:58:50Z","timestamp":1773727130454,"version":"3.50.1"},"reference-count":40,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"DOI":"10.13039\/501100004410","name":"Scientific and Technological Research Council of Turkey","doi-asserted-by":"crossref","award":["113E188"],"award-info":[{"award-number":["113E188"]}],"id":[{"id":"10.13039\/501100004410","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2020]]},"DOI":"10.1109\/access.2020.3040155","type":"journal-article","created":{"date-parts":[[2020,11,25]],"date-time":"2020-11-25T21:21:44Z","timestamp":1606339304000},"page":"218470-218476","source":"Crossref","is-referenced-by-count":40,"title":["Metabolic Imaging Based Sub-Classification of Lung Cancer"],"prefix":"10.1109","volume":"8","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0517-2245","authenticated-orcid":false,"given":"Mustafa","family":"Bicakci","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8473-9720","authenticated-orcid":false,"given":"Oguzhan","family":"Ayyildiz","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7686-6298","authenticated-orcid":false,"given":"Zafer","family":"Aydin","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5810-0643","authenticated-orcid":false,"given":"Alper","family":"Basturk","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0651-6441","authenticated-orcid":false,"given":"Seyhan","family":"Karacavus","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2954-1217","authenticated-orcid":false,"given":"Bulent","family":"Yilmaz","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.21037\/tlcr.2016.06.07"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.3390\/cancers12082200"},{"key":"ref33","article-title":"Adam: A method for stochastic optimization","author":"kingma","year":"2014","journal-title":"arXiv 1412 6980"},{"key":"ref32","first-page":"1","article-title":"Adam: A method for stochastic optimization","author":"kingma","year":"2015","journal-title":"Proc ICLR"},{"key":"ref31","first-page":"26","article-title":"Lecture 6.5-RMSPROP: Divide the gradient by a running average of its recent magnitude","volume":"4","author":"tieleman","year":"2012","journal-title":"COURSERA Neural Netw Mach Learn"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1214\/aoms\/1177729586"},{"key":"ref37","first-page":"1929","article-title":"Dropout: A simple way to prevent neural networks from overfitting","volume":"15","author":"srivastava","year":"2014","journal-title":"J Mach Learn Res"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1111\/j.1467-9868.2005.00503.x"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.2307\/1267351"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1111\/j.2517-6161.1996.tb02080.x"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1002\/jmri.24487"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2018.03.007"},{"key":"ref11","first-page":"265","article-title":"Diagnosis of breast cancer using a combination of genetic algorithm and artificial neural network in medical infrared thermal imaging","volume":"9","author":"zadeh","year":"2012","journal-title":"Iran J Med Phys"},{"key":"ref12","doi-asserted-by":"crossref","first-page":"436","DOI":"10.1038\/nature14539","article-title":"Deep learning","volume":"521","author":"lecun","year":"2015","journal-title":"Nature"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206848"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-015-0816-y"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1142\/9789813207813_0022"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1038\/nature21056"},{"key":"ref17","doi-asserted-by":"crossref","first-page":"26286","DOI":"10.1038\/srep26286","article-title":"Deep learning as a tool for increased accuracy and efficiency of histopathological diagnosis","volume":"6","author":"litjens","year":"2016","journal-title":"Sci Rep"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1186\/s12859-016-1334-9"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1117\/1.JBO.22.6.060503"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1016\/j.cmpb.2019.05.016"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.mri.2012.06.010"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/MASSP.1987.1165576"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1097\/JTO.0000000000000630"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1038\/srep13087"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1016\/j.artmed.2019.101789"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.csbj.2014.11.005"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0028210"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0061318"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1002\/cncr.26450"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.3906\/elk-1810-154"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1378\/chest.08-0978"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1038\/srep46479"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2017.07.005"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1155\/2017\/8314740"},{"key":"ref24","article-title":"SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and &#x00A1;0.5 MB model size","author":"iandola","year":"2016","journal-title":"arXiv 1602 07360"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2015.2488902"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1038\/323533a0"},{"key":"ref25","article-title":"Very deep convolutional networks for large-scale image recognition","author":"simonyan","year":"2014","journal-title":"arXiv 1409 1556"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/8948470\/09270569.pdf?arnumber=9270569","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,12,17]],"date-time":"2021-12-17T19:55:09Z","timestamp":1639770909000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9270569\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"references-count":40,"URL":"https:\/\/doi.org\/10.1109\/access.2020.3040155","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020]]}}}