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Based on the generated boundary information, we design a boundary-guided feature enhancement module to refine feature representations. This module combines frequency-domain enhancement, multi-scale feature interaction, and boundary-guided modulation. Finally, a feature fusion unit is introduced to progressively integrate multi-scale features and generate the final segmentation prediction. Extensive experiments on five benchmark datasets demonstrate the effectiveness of the proposed method. On ClinicDB, Kvasir, ColonDB, ETIS, and CVC-300, BMSNet achieves Dice scores of 0.943, 0.920, 0.828, 0.825, and 0.913, respectively. These results indicate that BMSNet achieves competitive segmentation performance with moderate computational complexity under the evaluated experimental setting.<\/jats:p>","DOI":"10.1088\/2057-1976\/ae7df5","type":"journal-article","created":{"date-parts":[[2026,6,16]],"date-time":"2026-06-16T22:48:28Z","timestamp":1781650108000},"page":"045043","update-policy":"https:\/\/doi.org\/10.1088\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["BMSNet: a boundary-guided multi-scale polyp segmentation network"],"prefix":"10.1088","volume":"12","author":[{"ORCID":"https:\/\/orcid.org\/0009-0008-6768-1601","authenticated-orcid":true,"given":"Tianying","family":"Gao","sequence":"first","affiliation":[{"name":"School of Computer and Information Engineering, Tianjin Chengjian University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zihao","family":"Song","sequence":"additional","affiliation":[{"name":"School of Computer and Information Engineering, Tianjin Chengjian University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0001-4498-078X","authenticated-orcid":true,"given":"Zhenjian","family":"Yang","sequence":"additional","affiliation":[{"name":"School of Computer and Information Engineering, Tianjin Chengjian University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-1506-922X","authenticated-orcid":true,"given":"Yadong","family":"Chen","sequence":"additional","affiliation":[{"name":"School of Computer and Information Engineering, Tianjin Chengjian University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0009-4353-5439","authenticated-orcid":true,"given":"Yunjie","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Computer and Information Engineering, Tianjin Chengjian University"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"266","published-online":{"date-parts":[[2026,7,27]]},"reference":[{"key":"bpexae7df5bib1","doi-asserted-by":"publisher","first-page":"169","DOI":"10.1007\/s10462-025-11173-2","type":"journal-article","article-title":"Polyp segmentation in medical imaging: challenges, approaches and future directions","volume":"58","author":"Qayoom","year":"2025","journal-title":"Artif. 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All rights, including for text and data mining, AI training, and similar technologies, are reserved.","name":"copyright_information","label":"Copyright Information"},{"value":"2025-12-22","name":"date_received","label":"Date Received","group":{"name":"publication_dates","label":"Publication dates"}},{"value":"2026-06-16","name":"date_accepted","label":"Date Accepted","group":{"name":"publication_dates","label":"Publication dates"}},{"value":"2026-07-27","name":"date_epub","label":"Online publication date","group":{"name":"publication_dates","label":"Publication dates"}}]}}