{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,1]],"date-time":"2026-06-01T14:52:17Z","timestamp":1780325537735,"version":"3.54.1"},"reference-count":19,"publisher":"IEEE","license":[{"start":{"date-parts":[[2025,1,9]],"date-time":"2025-01-09T00:00:00Z","timestamp":1736380800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,1,9]],"date-time":"2025-01-09T00:00:00Z","timestamp":1736380800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,1,9]]},"DOI":"10.1109\/ipas63548.2025.10924549","type":"proceedings-article","created":{"date-parts":[[2025,3,22]],"date-time":"2025-03-22T00:29:13Z","timestamp":1742603353000},"page":"1-6","source":"Crossref","is-referenced-by-count":4,"title":["Semi-Supervised Semantic Segmentation using Redesigned Self-Training for White Blood Cells"],"prefix":"10.1109","author":[{"given":"Quoc-Vinh","family":"Luu","sequence":"first","affiliation":[{"name":"Ho Chi Minh University of Technology,Ho Chi Minh City,Vietnam"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Khanh-Duy","family":"Le","sequence":"additional","affiliation":[{"name":"Ho Chi Minh University of Technology,Ho Chi Minh City,Vietnam"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Thanh-Huy","family":"Nguyen","sequence":"additional","affiliation":[{"name":"Université Bourgogne Europe,Dijon,France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Thanh-Minh","family":"Nguyen","sequence":"additional","affiliation":[{"name":"University of Medicine and Pharmacy,Ho Chi Minh City,Vietnam"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Quan","family":"Nguyen","sequence":"additional","affiliation":[{"name":"Posts and Telecommunications Institute of Technology,Hanoi,Vietnam"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tien-Thinh","family":"Nguyen","sequence":"additional","affiliation":[{"name":"Ho Chi Minh University of Technology,Ho Chi Minh City,Vietnam"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Quang-Vinh","family":"Dinh","sequence":"additional","affiliation":[{"name":"Vietnamese-German University,Binh Duong,Vietnam"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","volume-title":"International Agency for Research on Cancer"},{"key":"ref4","article-title":"Cancer Stat Facts: Leukemia \u2014 Chronic Lymphocytic Leukemia (CLL)","volume-title":"NATIONAL CANCER INSTITUTE Surveillance, Epidemiology, and End Results Program."},{"key":"ref5","article-title":"Cancer Stat Facts: Leukemia \u2014 Chronic Lymphocytic Leukemia (CLL). (n.d.)","volume-title":"NATIONAL CANCER INSTITUTE Surveillance, Epidemiology, and End Results Program."},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1101\/cshperspect.a034819"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-45676-3_37"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW60793.2023.00270"},{"key":"ref9","article-title":"Semi-Supervised Skin Lesion Segmentation under Dual Mask Ensemble with Feature Discrepancy Co-Training","author":"Nguyen","journal-title":"Medical Imaging with Deep Learning."},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW63382.2024.00531"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-24574-4_28"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref13","first-page":"596","article-title":"Fixmatch: Simplifying semi-supervised learning with consistency and confidence","volume":"33","author":"Sohn","year":"2020","journal-title":"Advances in neural information processing systems"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2022.3220219"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/j.micron.2018.01.010"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/j.compmedimag.2011.01.003"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00423"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00156"},{"key":"ref19","article-title":"Adversarial learning for semi-supervised semantic segmentation","author":"Hung","year":"2018"},{"key":"ref20","first-page":"30","article-title":"Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results","author":"Tarvainen","year":"2017","journal-title":"Advances in neural information processing systems"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01269"}],"event":{"name":"2025 IEEE 6th International Conference on Image Processing, Applications and Systems (IPAS)","location":"Lyon, France","start":{"date-parts":[[2025,1,9]]},"end":{"date-parts":[[2025,1,11]]}},"container-title":["2025 IEEE 6th International Conference on Image Processing, Applications and Systems (IPAS)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/10924471\/10924472\/10924549.pdf?arnumber=10924549","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,3,24]],"date-time":"2025-03-24T17:52:30Z","timestamp":1742838750000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10924549\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,1,9]]},"references-count":19,"URL":"https:\/\/doi.org\/10.1109\/ipas63548.2025.10924549","relation":{},"subject":[],"published":{"date-parts":[[2025,1,9]]}}}