{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,27]],"date-time":"2026-03-27T06:59:32Z","timestamp":1774594772637,"version":"3.50.1"},"reference-count":105,"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"}],"funder":[{"name":"Malaysian Industry-Government Group for High Technology and Scientific and Technological Research Council of Turkey","award":["TT-2024-002"],"award-info":[{"award-number":["TT-2024-002"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2025]]},"DOI":"10.1109\/access.2025.3565648","type":"journal-article","created":{"date-parts":[[2025,4,29]],"date-time":"2025-04-29T17:32:33Z","timestamp":1745947953000},"page":"76016-76037","source":"Crossref","is-referenced-by-count":5,"title":["A Review of Advanced Deep Learning Methods of Multi-Target Segmentation for Breast Cancer WSIs"],"prefix":"10.1109","volume":"13","author":[{"ORCID":"https:\/\/orcid.org\/0009-0003-6782-9470","authenticated-orcid":false,"given":"Qiaoyi","family":"Xu","sequence":"first","affiliation":[{"name":"Center for Artificial Intelligence Technology, Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia, Bangi, Selangor, Malaysia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1116-1005","authenticated-orcid":false,"given":"Afzan","family":"Adam","sequence":"additional","affiliation":[{"name":"Center for Artificial Intelligence Technology, Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia, Bangi, Selangor, Malaysia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Azizi","family":"Abdullah","sequence":"additional","affiliation":[{"name":"Center for Artificial Intelligence Technology, Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia, Bangi, Selangor, Malaysia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1120-145X","authenticated-orcid":false,"given":"Nurkhairul","family":"Bariyah","sequence":"additional","affiliation":[{"name":"Department of Pathology, Faculty of Medicine, Universiti Kebangsaan Malaysia, Kuala Lumpur, Malaysia"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.breast.2022.08.010"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.3389\/fonc.2023.1150840"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.3322\/caac.21660"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1186\/s40164-022-00363-1"},{"key":"ref5","volume-title":"TCGA-BRCA Project","author":"Institute","year":"2022"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1001\/jama.2018.19323"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1002\/path.5331"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.3390\/jpm11080808"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.5858\/arpa.2017-0139-OA"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.18280\/ts.400632"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2022.3227437"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1117\/1.JMI.10.1.017501"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1080\/14737159.2024.2346545"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.2147\/OTT.S437536"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-48593-0_15"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.3390\/cancers14092148"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1002\/path.6155"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/j.yamp.2021.07.005"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.32604\/cmes.2023.028018"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.3390\/cancers14081999"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.3389\/fmed.2019.00185"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.3389\/fnbot.2022.840594"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1016\/j.ajpath.2020.03.012"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1002\/widm.1439"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.3384\/9789180753005"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1080\/21681163.2016.1141063"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.3390\/cancers14215424"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1136\/BMJ.N71"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1016\/j.jpi.2023.100311"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2019.05.010"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2019.2947628"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/btz083"},{"key":"ref33","article-title":"PanNuke dataset extension, insights and baselines","author":"Gamper","year":"2020","journal-title":"arXiv:2003.10778"},{"key":"ref34","article-title":"BRACS: A dataset for BReAst carcinoma subtyping in H&E histology images","author":"Brancati","year":"2021","journal-title":"arXiv:2111.04740"},{"key":"ref35","volume-title":"Tiger Challenge","author":"Challenge","year":"2022"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1093\/gigascience\/giac037"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1038\/s41523-024-00663-1"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1093\/bib\/bbx044"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1016\/j.jbi.2018.04.007"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1038\/s41568-020-00327-9"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1136\/medethics-2020-106820"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1016\/j.radonc.2020.12.034"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1007\/978-981-13-1927-3_14"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2018.2849374"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.2174\/1574893617666220920102401"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.7717\/peerj-cs.1755"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1177\/10668969231185089"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1007\/s10278-020-00351-z"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1007\/s10586-022-03951-2"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1186\/s40537-021-00546-3"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1016\/j.mlwa.2021.100134"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.3389\/fmed.2019.00264"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2022.102652"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2023.3309971"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1016\/j.semcancer.2023.09.006"},{"key":"ref56","article-title":"Virchow: A million-slide digital pathology foundation model","author":"Vorontsov","year":"2023","journal-title":"arXiv:2309.07778"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1016\/j.smhl.2024.100474"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1016\/j.jpi.2023.100321"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2022.3176091"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1007\/s10586-021-03428-8"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.4103\/2153-3539.119005"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1117\/12.2086370"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1109\/RBME.2013.2295804"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2021.116471"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.1016\/j.compmedimag.2022.102155"},{"key":"ref66","article-title":"Multi-stain multi-level convolutional network for multi-tissue breast cancer image segmentation","author":"Modi","year":"2024","journal-title":"arXiv:2406.05828"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2024.110621"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.3390\/cancers14051199"},{"key":"ref69","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2020.101890"},{"key":"ref70","doi-asserted-by":"publisher","DOI":"10.1016\/j.jpi.2023.100335"},{"key":"ref71","doi-asserted-by":"publisher","DOI":"10.1109\/SWC57546.2023.10448845"},{"key":"ref72","doi-asserted-by":"publisher","DOI":"10.1145\/2656204"},{"key":"ref73","doi-asserted-by":"publisher","DOI":"10.1586\/14737159.8.6.707"},{"key":"ref74","doi-asserted-by":"publisher","DOI":"10.1002\/cjp2.322"},{"key":"ref75","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2016.11.004"},{"key":"ref76","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.322"},{"key":"ref77","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298965"},{"key":"ref78","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-24574-4_28"},{"key":"ref79","doi-asserted-by":"publisher","DOI":"10.1109\/RBME.2017.2651164"},{"key":"ref80","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2024.3377428"},{"key":"ref81","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2022.102487"},{"key":"ref82","doi-asserted-by":"publisher","DOI":"10.3389\/fmed.2022.886763"},{"key":"ref83","article-title":"A two-stage weakly supervised semantic segmentation model based on pathological tissue relationships","author":"Huang","year":"2023","journal-title":"Authorea Preprints"},{"key":"ref84","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2023.3317132"},{"key":"ref85","doi-asserted-by":"publisher","DOI":"10.3934\/mbe.2022519"},{"key":"ref86","first-page":"1","article-title":"Nnunet meets pathology: Bridging the gap for application to whole-slide images and computational biomarkers","volume-title":"Proc. Med. Imag. Deep Learn. (MIDL)","author":"Spronck"},{"key":"ref87","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2023.102845"},{"key":"ref88","doi-asserted-by":"publisher","DOI":"10.1016\/j.modpat.2023.100196"},{"key":"ref89","article-title":"Multiclass semantic segmentation of immunostained breast cancer tissue with a deep-learning approach","author":"Ortega-Ru\u00edz","year":"2022","journal-title":"MedRxiv"},{"key":"ref90","doi-asserted-by":"publisher","DOI":"10.3390\/life14010090"},{"key":"ref91","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-59722-1_45"},{"key":"ref92","first-page":"18","article-title":"Joint breast neoplasm detection and subtyping using multi-resolution network trained on large-scale H&E whole slide images with weak labels","volume-title":"Proc. Med. Imag. Deep Learn.","author":"Casson"},{"key":"ref93","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-34048-2_52"},{"key":"ref94","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-024-53361-0"},{"key":"ref95","doi-asserted-by":"publisher","DOI":"10.1088\/1361-6560\/ac910a"},{"key":"ref96","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2021.3090866"},{"key":"ref97","doi-asserted-by":"publisher","DOI":"10.1016\/j.prp.2023.154687"},{"key":"ref98","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2023.3296848"},{"key":"ref99","doi-asserted-by":"publisher","DOI":"10.1109\/TAI.2023.3246032"},{"key":"ref100","article-title":"An automated pipeline for tumour-infiltrating lymphocyte scoring in breast cancer","author":"Shephard","year":"2023","journal-title":"arXiv:2311.06185"},{"key":"ref101","first-page":"1","article-title":"Scoring tumor-infiltrating lymphocytes in breast DCIS: A guideline-driven artificial intelligence approach","volume-title":"Proc. MICCAI Workshop Comput. Pathol. Multimodal Data (COMPAYL)","author":"Pozzi"},{"key":"ref102","doi-asserted-by":"publisher","DOI":"10.3390\/diagnostics13020263"},{"key":"ref103","doi-asserted-by":"publisher","DOI":"10.1007\/s00428-023-03608-4"},{"key":"ref104","doi-asserted-by":"publisher","DOI":"10.1038\/s41467-021-21896-9"},{"key":"ref105","doi-asserted-by":"publisher","DOI":"10.1002\/gcc.23177"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/6287639\/10820123\/10979932.pdf?arnumber=10979932","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,5,7]],"date-time":"2025-05-07T04:32:00Z","timestamp":1746592320000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10979932\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"references-count":105,"URL":"https:\/\/doi.org\/10.1109\/access.2025.3565648","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025]]}}}