{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,13]],"date-time":"2026-07-13T08:07:59Z","timestamp":1783930079615,"version":"3.55.0"},"reference-count":42,"publisher":"Institution of Engineering and Technology (IET)","issue":"3","license":[{"start":{"date-parts":[[2026,5,4]],"date-time":"2026-05-04T00:00:00Z","timestamp":1777852800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"},{"start":{"date-parts":[[2026,5,4]],"date-time":"2026-05-04T00:00:00Z","timestamp":1777852800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["U23A20487"],"award-info":[{"award-number":["U23A20487"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["ietresearch.onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["CAAI Trans on Intel Tech"],"published-print":{"date-parts":[[2026,6]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:p>Accurate segmentation of colorectal polyps is essential for early colorectal cancer screening, yet remains challenging due to weak foreground\u2013background contrast, disrupted boundaries caused by specular reflections and intestinal folds, and pronounced scale variation among polyps. These factors make it difficult for existing methods to jointly preserve fine boundary details and robust global semantic context. To address these task\u2010specific challenges, we propose a Dual\u2010branch Feature Progressive Fusion Network (DFPF\u2010Net) for colorectal polyp segmentation. DFPF\u2010Net adopts a dual\u2010encoder architecture that integrates a CNN\u2010based encoder for local and boundary\u2010sensitive representation for global semantic modelling. A boundary\u2010aware branch equipped with stacked Inversely Perceive Information Layers (IPILs) enhances ambiguous and fragmented contours, while the semantic branch incorporates Misalignment Fusion Modules (MFMs) and a Misaligned Single\u2010layer Reinforcement Module (MSRM) to alleviate semantic misalignment and insufficient cross\u2010scale interaction. Furthermore, a Perceptual Information Fusion Module (PIFM) enables effective semantic\u2013boundary collaboration, and a Multi\u2010level Residual Decoding Module (MRDM) progressively reconstructs structurally consistent segmentation outputs. Extensive experiments on multiple public colonoscopy datasets demonstrate that DFPF\u2010Net achieves competitive and robust segmentation performance. In particular, on the challenging ETIS dataset, DFPF\u2010Net attains 0.785 mDice and 0.704 mIoU, indicating its capability in handling complex structures and ambiguous boundaries in colorectal polyp segmentation.<\/jats:p>","DOI":"10.1049\/cit2.70132","type":"journal-article","created":{"date-parts":[[2026,5,4]],"date-time":"2026-05-04T11:13:22Z","timestamp":1777893202000},"page":"900-919","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["A Semantic Segmentation Network for Colorectal Polyp Images With Progressive Fusion of Dual\u2010Branch Features"],"prefix":"10.1049","volume":"11","author":[{"given":"Tianxu","family":"Yan","sequence":"first","affiliation":[{"name":"Department of Artificial Intelligence College of Information Engineering China Jiliang University  Hangzhou 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Intelligence College of Information Engineering China Jiliang University  Hangzhou China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Luyang","family":"Chen","sequence":"additional","affiliation":[{"name":"School of Physics Mathematics and Computing The University of Western Australia  Perth Western Australia Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0004-7972-6660","authenticated-orcid":false,"given":"Wei","family":"Si","sequence":"additional","affiliation":[{"name":"Claremont High School  Claremont California USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6743-8945","authenticated-orcid":false,"given":"Dongping","family":"Zhang","sequence":"additional","affiliation":[{"name":"Department of Artificial Intelligence College of Information Engineering China Jiliang University  Hangzhou 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