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In the decoder, a D-LKA decoder with deformable large kernel convolution attention is used, allowing the model to adapt to complex target features. Finally, the TRR module is introduced to coordinate information transfer between the convolutional neural network and Transformer, reducing semantic\u00a0loss.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec id=\"j_bmt-2025-0383_abs_003\">\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>The model is trained, validated, and tested on the Kvasir-SEG colon polyp dataset, with multiple ablation experiments. To validate generalization, experiments are also conducted on the CVC-ClinicDB dataset. Experimental results show that TDU-Net outperforms other methods in both segmentation accuracy and generalization.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec id=\"j_bmt-2025-0383_abs_004\">\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>TDU-Net achieves excellent segmentation results, addressing small target and incomplete feature extraction issues, significantly improving clinical diagnosis efficiency and accuracy.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1515\/bmt-2025-0383","type":"journal-article","created":{"date-parts":[[2026,8,18]],"date-time":"2026-08-18T02:55:43Z","timestamp":1787021743000},"source":"Crossref","is-referenced-by-count":0,"title":["A novel medical image segmentation network for colorectal polyp small targets and fuzzy boundaries"],"prefix":"10.1515","author":[{"ORCID":"https:\/\/orcid.org\/0009-0009-3488-7395","authenticated-orcid":false,"given":"Yutong","family":"Ji","sequence":"first","affiliation":[{"name":"School of Mechanical Electronic and Vehicle Engineering, Beijing University of Civil Engineering and Architecture , Beijing , China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chuantao","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Mechanical Electronic and Vehicle Engineering, Beijing University of Civil Engineering and Architecture , Beijing , China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiumin","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Mechanical Electronic and Vehicle Engineering, Beijing University of Civil Engineering and Architecture , Beijing , China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"374","published-online":{"date-parts":[[2026,8,18]]},"reference":[{"key":"2026081802553936028_j_bmt-2025-0383_ref_001","doi-asserted-by":"crossref","unstructured":"Sinicrope, FA. 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