{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,9]],"date-time":"2026-04-09T01:48:20Z","timestamp":1775699300563,"version":"3.50.1"},"reference-count":35,"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\/501100007129","name":"Natural Science Foundation of Shandong Province","doi-asserted-by":"publisher","award":["ZR2019MEE066"],"award-info":[{"award-number":["ZR2019MEE066"]}],"id":[{"id":"10.13039\/501100007129","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100007129","name":"Natural Science Foundation of Shandong Province","doi-asserted-by":"publisher","award":["ZR2018MC007"],"award-info":[{"award-number":["ZR2018MC007"]}],"id":[{"id":"10.13039\/501100007129","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2020]]},"DOI":"10.1109\/access.2020.3003089","type":"journal-article","created":{"date-parts":[[2020,6,17]],"date-time":"2020-06-17T22:17:48Z","timestamp":1592432268000},"page":"112674-112687","source":"Crossref","is-referenced-by-count":47,"title":["Defect Inspection in Tire Radiographic Image Using Concise Semantic Segmentation"],"prefix":"10.1109","volume":"8","author":[{"given":"Zhouzhou","family":"Zheng","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sen","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2453-7852","authenticated-orcid":false,"given":"Bin","family":"Yu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Qingdang","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5137-733X","authenticated-orcid":false,"given":"Yan","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref33","first-page":"1","article-title":"Brain tumor classification using wavelet and texture based neural network","volume":"3","author":"john","year":"2012","journal-title":"Int J Sci Eng Res"},{"key":"ref32","article-title":"Classification of multispectral remote sensing image using kernel principal component analysis and neural network","volume":"7496","author":"jie","year":"2009","journal-title":"Proc MIPPR"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/ISCE.2015.7177766"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2008.02.066"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.322"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-93000-8_99"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1155\/2016\/4140175"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.3390\/s18082524"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2017.2668395"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1111\/cote.12394"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2913620"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1142\/S0218001418500118"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.2991\/ijcis.11.1.80"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2908483"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01261-8_20"},{"key":"ref19","first-page":"4554","article-title":"ContextNet: Exploring context and detail for semantic segmentation in real-time","volume":"1805","author":"poudel","year":"2018","journal-title":"Proc BMVC"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1007\/s41095-019-0139-y"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/0963-8695(91)90824-M"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2019.2940555"},{"key":"ref3","doi-asserted-by":"crossref","first-page":"216","DOI":"10.1016\/0142-1123(96)81890-1","article-title":"Acousto-ultrasonic non-destructive evaluation of fatigue damage in steel-belted radial tires","volume":"18","author":"dos reis","year":"1996","journal-title":"Int J Fatigue"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.optlastec.2012.08.023"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.3390\/electronics8050481"},{"key":"ref5","first-page":"41","article-title":"Tire defect detection using image component decomposition","volume":"4","author":"guo","year":"2012","journal-title":"Res J Appl Sci Eng Technol"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1088\/0256-307X\/30\/8\/084205"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TASE.2015.2469594"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.optlaseng.2012.07.014"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.4028\/www.scientific.net\/AMR.317-319.968"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jsr.2009.07.006"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298965"},{"key":"ref22","first-page":"234","article-title":"U-net: Convolutional networks for biomedical image segmentation","author":"ronneberger","year":"2015","journal-title":"Proc MICCAI"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2644615"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/JSEN.2018.2870957"},{"key":"ref23","article-title":"Very deep convolutional networks for large-scale image recognition","author":"simonyan","year":"2014","journal-title":"arXiv 1409 1556"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2018.2831627"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2018.09.043"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/8948470\/09119415.pdf?arnumber=9119415","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,12]],"date-time":"2022-01-12T15:57:20Z","timestamp":1642003040000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9119415\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"references-count":35,"URL":"https:\/\/doi.org\/10.1109\/access.2020.3003089","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020]]}}}