{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,21]],"date-time":"2026-02-21T13:18:59Z","timestamp":1771679939209,"version":"3.50.1"},"reference-count":50,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2023]]},"DOI":"10.1109\/access.2022.3227798","type":"journal-article","created":{"date-parts":[[2022,12,8]],"date-time":"2022-12-08T18:36:04Z","timestamp":1670524564000},"page":"47480-47490","source":"Crossref","is-referenced-by-count":6,"title":["Loop Residual Attention Network for Automatic Segmentation of COVID-19 Chest X-Ray Images"],"prefix":"10.1109","volume":"11","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3345-5146","authenticated-orcid":false,"given":"Gongtao","family":"Yue","sequence":"first","affiliation":[{"name":"School of Computer, Xijing University, Xi’an, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jie","family":"Lin","sequence":"additional","affiliation":[{"name":"School of Electronic Information, Xijing University, Xi’an, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ziheng","family":"An","sequence":"additional","affiliation":[{"name":"School of Integrated Circuits, Anhui University, Hefei, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7141-2510","authenticated-orcid":false,"given":"Yongsheng","family":"Yang","sequence":"additional","affiliation":[{"name":"School of Computer, Xijing University, Xi’an, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/JAS.2020.1003393"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2021.105002"},{"key":"ref15","first-page":"1","article-title":"An intriguing failing of convolutional neural networks and the CoordConv solution","volume":"31","author":"liu","year":"2018","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.3010287"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2020.2993291"},{"key":"ref10","article-title":"TransUNet: Transformers make strong encoders for medical image segmentation","author":"chen","year":"2021","journal-title":"arXiv 2102 04306"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.369"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1259\/bjr.20150998"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/S0140-6736(20)30183-5"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/j.injury.2006.07.006"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.74"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298965"},{"key":"ref45","article-title":"Residual attention U-Net for automated multi-class segmentation of COVID-19 chest CT images","author":"chen","year":"2020","journal-title":"arXiv 2004 05645"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i6.16617"},{"key":"ref47","article-title":"Rethinking atrous convolution for semantic image segmentation","author":"chen","year":"2017","journal-title":"arXiv 1706 05587"},{"key":"ref42","article-title":"A deep convolutional encoder–decoder architecture for image segmentation","author":"badrinarayanan","year":"2015","journal-title":"arXiv 1511 00561"},{"key":"ref41","first-page":"14274","article-title":"On translation invariance in CNNs: Convolutional layers can exploit absolute spatial location","author":"kayhan","year":"2020","journal-title":"Proc IEEE\/CVF Conf Comput Vis Pattern Recognit (CVPR)"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2021.104526"},{"key":"ref43","first-page":"1","article-title":"Attention is all you need","volume":"30","author":"vaswani","year":"2017","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2019.2903562"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2022.108826"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/RBME.2020.2987975"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2021.3070467"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.2174\/1573405617666210713113439"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1002\/jmv.25725"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1097\/BCO.0000000000000846"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1080\/03007995.2017.1385450"},{"key":"ref40","article-title":"Position, padding and predictions: A deeper look at position information in CNNs","author":"islam","year":"2021","journal-title":"arXiv 2101 12322"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2021.3082527"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/ISBI.2019.8759329"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP40776.2020.9053405"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-00889-5_1"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2020.2996645"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2021.107828"},{"key":"ref33","first-page":"234","article-title":"U-Net: Convolutional networks for biomedical image segmentation","author":"ronneberger","year":"2015","journal-title":"Proc Med Image Comput Comput -Assist Intervent"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2020.3000314"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1080\/14737159.2020.1757437"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1002\/rmv.2112"},{"key":"ref39","first-page":"1","article-title":"Boundary effects in CNNs: Feature or bug?","author":"islam","year":"2020","journal-title":"Proc ICLR"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.3390\/s21010268"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2021.108006"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-020-76550-z"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2020.101836"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP42928.2021.9506442"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1016\/j.clinimag.2020.04.001"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2020.09.010"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1016\/j.imu.2020.100391"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2022.105340"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-022-05527-x"},{"key":"ref29","article-title":"COVID-rate: An automated framework for segmentation of COVID-19 lesions from chest CT scans","author":"enshaei","year":"2021","journal-title":"arXiv 2107 01527"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/10005208\/09975324.pdf?arnumber=9975324","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,6,12]],"date-time":"2023-06-12T18:19:32Z","timestamp":1686593972000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9975324\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"references-count":50,"URL":"https:\/\/doi.org\/10.1109\/access.2022.3227798","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023]]}}}