{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,25]],"date-time":"2026-01-25T02:11:43Z","timestamp":1769307103253,"version":"3.49.0"},"reference-count":29,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"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":[[2025]]},"DOI":"10.1109\/access.2025.3538626","type":"journal-article","created":{"date-parts":[[2025,2,4]],"date-time":"2025-02-04T18:43:00Z","timestamp":1738694580000},"page":"28522-28538","source":"Crossref","is-referenced-by-count":1,"title":["A Modified Parallel NET (MPNET)-Based Deep Learning Technique for the Segmentation and Quantification of Visceral and Superficial Adipose Tissues of CT Scans"],"prefix":"10.1109","volume":"13","author":[{"ORCID":"https:\/\/orcid.org\/0009-0007-7894-2451","authenticated-orcid":false,"given":"Josteve","family":"Adekanbi","sequence":"first","affiliation":[{"name":"Faculty of Computing, Engineering and the Built Environment, Birmingham City University, Birmingham, U.K."}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4237-5711","authenticated-orcid":false,"given":"Debashish","family":"Das","sequence":"additional","affiliation":[{"name":"Faculty of Computing, Engineering and the Built Environment, Birmingham City University, Birmingham, U.K."}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nouh","family":"Elmitwally","sequence":"additional","affiliation":[{"name":"Faculty of Computing, Engineering and the Built Environment, Birmingham City University, Birmingham, U.K."}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5894-1642","authenticated-orcid":false,"given":"Aliyuda","family":"Ali","sequence":"additional","affiliation":[{"name":"Department of Computing, College of Business, Technology and Engineering, Sheffield Hallam University, Sheffield, U.K."}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Vince I.","family":"Madai","sequence":"additional","affiliation":[{"name":"Faculty of Computing, Engineering and the Built Environment, Birmingham City University, Birmingham, U.K."}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4522-2665","authenticated-orcid":false,"given":"Bahadar","family":"Bhatia","sequence":"additional","affiliation":[{"name":"Faculty of Computers and Artificial Intelligence, Cairo University, Giza, Egypt"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"John","family":"Morlese","sequence":"additional","affiliation":[{"name":"Sandwell and West Birmingham Hospitals NHS Trust, West Bromwich, U.K."}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Muhammed","family":"Afsal","sequence":"additional","affiliation":[{"name":"Sandwell and West Birmingham Hospitals NHS Trust, West Bromwich, U.K."}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0779-4822","authenticated-orcid":false,"given":"Tanay","family":"Shah","sequence":"additional","affiliation":[{"name":"Sandwell and West Birmingham Hospitals NHS Trust, West Bromwich, U.K."}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1007\/s12065-020-00540-3"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.2102.04306"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1088\/2057-1976\/acfb06"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-24574-4_28"},{"key":"ref5","article-title":"Attention U-Net: Learning where to look for the pancreas","author":"Oktay","year":"2018","journal-title":"arXiv:1804.03999"},{"key":"ref6","article-title":"Swin-Unet: Unet-like pure transformer for medical image segmentation","author":"Cao","year":"2021","journal-title":"arXiv:2105.05537"},{"key":"ref7","article-title":"UNet++: Redesigning skip connections to exploit multiscale features in image segmentation","author":"Zhou","year":"2019","journal-title":"arXiv:1912.05074"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1002\/mp.16135"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1007\/s11517-022-02723-9"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ICSIP55141.2022.9886386"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1002\/jcsm.13226"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.4314\/mmj.v29i2.15"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1136\/bmjopen-2020-048221"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1118\/1.4876275"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1590\/0100-3984.2016.0023"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/j.diii.2013.04.006"},{"issue":"1","key":"ref17","first-page":"10","article-title":"CNNs and their impact on medical image analysis","volume":"1","author":"Tajbakhsh","year":"2022","journal-title":"J. Med. Imag."},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-020-63285-0"},{"issue":"1","key":"ref19","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1186\/s12880-015-0068-x","article-title":"Metrics for evaluating 3D medical image segmentation: Analysis, selection, and tool","volume":"15","author":"Taha","year":"2015","journal-title":"BMC Med. Imag."},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.3390\/s22124426"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1038\/s41592-020-01008-z"},{"key":"ref22","article-title":"Recurrent residual convolutional neural network based on U-Net (R2U-Net) for medical image segmentation","author":"Zahangir Alom","year":"2018","journal-title":"arXiv:1802.06955"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1186\/s13104-022-06096-y"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.acl-main.45"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00075"},{"key":"ref26","article-title":"Unified focal loss: Generalising dice and cross entropy-based losses to handle class imbalanced medical image segmentation","author":"Yeung","year":"2021","journal-title":"arXiv:2102.04525"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0183515"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1186\/s12859-023-05462-2"},{"key":"ref29","article-title":"AATCT-IDS: A benchmark abdominal adipose tissue CT image dataset for image denoising, semantic segmentation, and radiomics evaluation","author":"Ma","year":"2023","journal-title":"arXiv:2308.08172"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/6287639\/10820123\/10870231.pdf?arnumber=10870231","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,2,19]],"date-time":"2025-02-19T19:03:02Z","timestamp":1739991782000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10870231\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"references-count":29,"URL":"https:\/\/doi.org\/10.1109\/access.2025.3538626","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025]]}}}