{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,4]],"date-time":"2026-06-04T03:23:27Z","timestamp":1780543407644,"version":"3.54.1"},"reference-count":64,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"3","license":[{"start":{"date-parts":[[2023,3,1]],"date-time":"2023-03-01T00:00:00Z","timestamp":1677628800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2023,3,1]],"date-time":"2023-03-01T00:00:00Z","timestamp":1677628800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,3,1]],"date-time":"2023-03-01T00:00:00Z","timestamp":1677628800000},"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":["61906054"],"award-info":[{"award-number":["61906054"]}],"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":["61401385"],"award-info":[{"award-number":["61401385"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012166","name":"National Key Research and Development Program of China","doi-asserted-by":"publisher","award":["2019YFC0118404"],"award-info":[{"award-number":["2019YFC0118404"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004731","name":"Natural Science Foundation of Zhejiang Provincial","doi-asserted-by":"publisher","award":["LY21-F030006"],"award-info":[{"award-number":["LY21-F030006"]}],"id":[{"id":"10.13039\/501100004731","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Neural Netw. Learning Syst."],"published-print":{"date-parts":[[2023,3]]},"DOI":"10.1109\/tnnls.2021.3105384","type":"journal-article","created":{"date-parts":[[2021,8,30]],"date-time":"2021-08-30T20:53:40Z","timestamp":1630356820000},"page":"1418-1429","source":"Crossref","is-referenced-by-count":63,"title":["A Novel Convolutional Neural Network Model Based on Beetle Antennae Search Optimization Algorithm for Computerized Tomography Diagnosis"],"prefix":"10.1109","volume":"34","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5171-1414","authenticated-orcid":false,"given":"Dechao","family":"Chen","sequence":"first","affiliation":[{"name":"School of Computer Science and Technology, Hangzhou Dianzi University, Hangzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiang","family":"Li","sequence":"additional","affiliation":[{"name":"HDU-ITMO Joint Institute, Hangzhou Dianzi University, Hangzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8316-5289","authenticated-orcid":false,"given":"Shuai","family":"Li","sequence":"additional","affiliation":[{"name":"College of Engineering, Swansea University, Swansea, U.K."}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1038\/nature14539"},{"key":"ref2","volume-title":"Deep Learning","author":"Goodfellow","year":"2016"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1155\/2018\/7068349"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/MCI.2018.2840738"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2017.2672989"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.gpb.2017.07.003"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2018.2790388"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2017.2766168"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2020.2991088"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2015.2434841"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1038\/s41591-018-0107-6"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pmed.1002686"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1148\/radiol.2018180958"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.3348\/kjr.2020.0146"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2018.03.033"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1007\/s12530-018-9248-6"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2019.2899781"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2019.2903736"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2018.2890334"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2019.2939157"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2018.2815085"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2019.2911603"},{"key":"ref23","article-title":"Chest X-ray generation and data augmentation for cardiovascular abnormality classification","volume":"10574","author":"Madani","year":"2018","journal-title":"Proc. SPIE"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1186\/s13640-018-0332-4"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1007\/s10278-019-00182-7"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2018.01.051"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1155\/2019\/6051939"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2017.2785834"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2016.10.019"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-51811-4_3"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2019.2894283"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2015.2412037"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2020.3041360"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2917526"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-91008-6_57"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4613-1361-8"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.7551\/mitpress\/1090.001.0001"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2020.3033324"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1007\/springerreference_6157"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1007\/BF00344251"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2016.2526689"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.3390\/s19092167"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1016\/j.cmpb.2018.05.006"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/CEC.2018.8477735"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2016.7727372"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1007\/s11036-018-1196-7"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1016\/j.swevo.2019.05.010"},{"issue":"10","key":"ref48","first-page":"79","article-title":"Hybrid algorithm for the optimization of training convolutional neural network","volume":"6","author":"Albeahdili","year":"2015","journal-title":"Int. J. Adv. Comput. Sci. Appl."},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/5.726791"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.5555\/2999134.2999257"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-10590-1_53"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.4324\/9781410605337-29"},{"key":"ref53","article-title":"Very deep convolutional networks for large-scale image recognition","author":"Simonyan","year":"2014","journal-title":"arXiv:1409.1556"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.5565\/rev\/elcvia.567"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.3390\/en13020449"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1504\/IJBIC.2016.076633"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1016\/j.advengsoft.2017.03.014"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2016.09.068"},{"key":"ref59","first-page":"8024","article-title":"Pytorch: An imperative style, high-performance deep learning library","volume-title":"Proc. Adv. Neural Inf. Process. Syst., Annu. Conf. Neural Inf. Process. Syst. (NeurIPS)","author":"Paszke"},{"key":"ref60","volume-title":"Head CT-Hemorrhage","year":"2018"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1007\/978-981-13-1813-9_5"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2016.01.012"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1007\/s00500-020-05080-7"},{"key":"ref64","article-title":"Large batch optimization for deep learning: Training BERT in 76 minutes","author":"You","year":"2019","journal-title":"arXiv:1904.00962"}],"container-title":["IEEE Transactions on Neural Networks and Learning Systems"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/5962385\/10056374\/09524828.pdf?arnumber=9524828","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,12]],"date-time":"2024-01-12T00:00:48Z","timestamp":1705017648000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9524828\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,3]]},"references-count":64,"journal-issue":{"issue":"3"},"URL":"https:\/\/doi.org\/10.1109\/tnnls.2021.3105384","relation":{},"ISSN":["2162-237X","2162-2388"],"issn-type":[{"value":"2162-237X","type":"print"},{"value":"2162-2388","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,3]]}}}