{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,16]],"date-time":"2026-03-16T08:14:39Z","timestamp":1773648879280,"version":"3.50.1"},"reference-count":20,"publisher":"Elsevier BV","issue":"2","license":[{"start":{"date-parts":[[2026,4,1]],"date-time":"2026-04-01T00:00:00Z","timestamp":1775001600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,4,1]],"date-time":"2026-04-01T00:00:00Z","timestamp":1775001600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2025,7,23]],"date-time":"2025-07-23T00:00:00Z","timestamp":1753228800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100010798","name":"Sunway University","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100010798","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100006683","name":"Xi'an Jiaotong-Liverpool University","doi-asserted-by":"publisher","award":["FOSA2312001"],"award-info":[{"award-number":["FOSA2312001"]}],"id":[{"id":"10.13039\/501100006683","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["ICT Express"],"published-print":{"date-parts":[[2026,4]]},"DOI":"10.1016\/j.icte.2025.07.008","type":"journal-article","created":{"date-parts":[[2025,8,5]],"date-time":"2025-08-05T21:49:41Z","timestamp":1754430581000},"page":"295-300","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":1,"title":["3D medical image segmentation via sequential 2D slice processing"],"prefix":"10.1016","volume":"12","author":[{"ORCID":"https:\/\/orcid.org\/0009-0002-0712-0008","authenticated-orcid":false,"given":"Yee Zhing","family":"Liew","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Andrew Huey Ping","family":"Tan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3094-5596","authenticated-orcid":false,"given":"Anwar","family":"P.P. Abdul Majeed","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Anh","family":"Nguyen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Paolo","family":"Paoletti","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wei","family":"Chen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"78","reference":[{"issue":"5","key":"10.1016\/j.icte.2025.07.008_b1","doi-asserted-by":"crossref","first-page":"1243","DOI":"10.1049\/ipr2.12419","article-title":"Medical image segmentation using deep learning: A survey","volume":"16","author":"Wang","year":"2022","journal-title":"IET Image Process."},{"key":"10.1016\/j.icte.2025.07.008_b2","series-title":"Segdiff: Image segmentation with diffusion probabilistic models","author":"Amit","year":"2021"},{"key":"10.1016\/j.icte.2025.07.008_b3","series-title":"International MICCAI Brainlesion Workshop","first-page":"272","article-title":"Swin unetr: Swin transformers for semantic segmentation of brain tumors in MRI images","author":"Hatamizadeh","year":"2021"},{"key":"10.1016\/j.icte.2025.07.008_b4","doi-asserted-by":"crossref","unstructured":"Z. Liu, Y. Lin, Y. Cao, H. Hu, Y. Wei, Z. Zhang, S. Lin, B. Guo, Swin transformer: Hierarchical vision transformer using shifted windows, in: Proceedings of the IEEE\/CVF International Conference on Computer Vision, 2021, pp. 10012\u201310022.","DOI":"10.1109\/ICCV48922.2021.00986"},{"key":"10.1016\/j.icte.2025.07.008_b5","series-title":"An image is worth 16x16 words: Transformers for image recognition at scale","author":"Dosovitskiy","year":"2020"},{"issue":"6","key":"10.1016\/j.icte.2025.07.008_b6","doi-asserted-by":"crossref","first-page":"96","DOI":"10.1109\/MSP.2017.2738401","article-title":"Deep multimodal learning: A survey on recent advances and trends","volume":"34","author":"Ramachandram","year":"2017","journal-title":"IEEE Signal Process. Mag."},{"key":"10.1016\/j.icte.2025.07.008_b7","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1186\/s40537-016-0043-6","article-title":"A survey of transfer learning","volume":"3","author":"Weiss","year":"2016","journal-title":"J. Big Data"},{"key":"10.1016\/j.icte.2025.07.008_b8","series-title":"3D transunet: Advancing medical image segmentation through vision transformers","author":"Chen","year":"2023"},{"key":"10.1016\/j.icte.2025.07.008_b9","series-title":"Transunet: Transformers make strong encoders for medical image segmentation","author":"Chen","year":"2021"},{"key":"10.1016\/j.icte.2025.07.008_b10","series-title":"Medical image computing and computer-assisted intervention\u2013MICCAI 2015: 18th international conference, Munich, Germany, October 5-9, 2015, proceedings, part III","first-page":"234","article-title":"U-net: Convolutional networks for biomedical image segmentation","volume":"Vol. 18","author":"Ronneberger","year":"2015"},{"key":"10.1016\/j.icte.2025.07.008_b11","doi-asserted-by":"crossref","unstructured":"Q. Yu, L. Xie, Y. Wang, Y. Zhou, E.K. Fishman, A.L. Yuille, Recurrent Saliency Transformation Network: Incorporating Multi-Stage Visual Cues for Small Organ Segmentation, in: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, CVPR, 2018.","DOI":"10.1109\/CVPR.2018.00864"},{"issue":"9","key":"10.1016\/j.icte.2025.07.008_b12","doi-asserted-by":"crossref","first-page":"2151","DOI":"10.1109\/TMI.2019.2894322","article-title":"Automatic 3D bi-ventricular segmentation of cardiac images by a shape-refined multi-task deep learning approach","volume":"38","author":"Duan","year":"2019","journal-title":"IEEE Trans. Med. Imaging"},{"key":"10.1016\/j.icte.2025.07.008_b13","doi-asserted-by":"crossref","DOI":"10.1016\/j.compbiomed.2024.109173","article-title":"A flexible 2.5 D medical image segmentation approach with in-slice and cross-slice attention","volume":"182","author":"Kumar","year":"2024","journal-title":"Comput. Biol. Med."},{"key":"10.1016\/j.icte.2025.07.008_b14","article-title":"Attention is all you need","volume":"30","author":"Vaswani","year":"2017","journal-title":"Adv. Neural Inf. Process. Syst."},{"key":"10.1016\/j.icte.2025.07.008_b15","series-title":"Medical sam 2: Segment medical images as video via segment anything model 2","author":"Zhu","year":"2024"},{"key":"10.1016\/j.icte.2025.07.008_b16","series-title":"Sam 2: Segment anything in images and videos","author":"Ravi","year":"2024"},{"key":"10.1016\/j.icte.2025.07.008_b17","series-title":"Dinov2: Learning robust visual features without supervision","author":"Oquab","year":"2023"},{"issue":"4","key":"10.1016\/j.icte.2025.07.008_b18","doi-asserted-by":"crossref","DOI":"10.1117\/1.JMI.5.4.044501","article-title":"PROSTATEx challenges for computerized classification of prostate lesions from multiparametric magnetic resonance images","volume":"5","author":"Armato","year":"2018","journal-title":"J. Med. Imaging"},{"issue":"1","key":"10.1016\/j.icte.2025.07.008_b19","doi-asserted-by":"crossref","first-page":"4128","DOI":"10.1038\/s41467-022-30695-9","article-title":"The medical segmentation decathlon","volume":"13","author":"Antonelli","year":"2022","journal-title":"Nat. Commun."},{"issue":"11","key":"10.1016\/j.icte.2025.07.008_b20","doi-asserted-by":"crossref","first-page":"2514","DOI":"10.1109\/TMI.2018.2837502","article-title":"Deep learning techniques for automatic MRI cardiac multi-structures segmentation and diagnosis: Is the problem solved?","volume":"37","author":"Bernard","year":"2018","journal-title":"IEEE Trans. Med. Imaging"}],"container-title":["ICT Express"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S2405959525001080?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S2405959525001080?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,3,16]],"date-time":"2026-03-16T07:39:26Z","timestamp":1773646766000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S2405959525001080"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,4]]},"references-count":20,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2026,4]]}},"alternative-id":["S2405959525001080"],"URL":"https:\/\/doi.org\/10.1016\/j.icte.2025.07.008","relation":{},"ISSN":["2405-9595"],"issn-type":[{"value":"2405-9595","type":"print"}],"subject":[],"published":{"date-parts":[[2026,4]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"3D medical image segmentation via sequential 2D slice processing","name":"articletitle","label":"Article Title"},{"value":"ICT Express","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.icte.2025.07.008","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2025 The Authors. Published by Elsevier B.V. on behalf of The Korean Institute of Communications and Information Sciences.","name":"copyright","label":"Copyright"}]}}