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Structural priors are generated using a learnable edge enhancer and a shallow edge extractor and are subsequently refined through interactions with deep semantic features. A gated fusion decoder adaptively integrates these edge-aware cues with hierarchical semantic features to resolve feature ambiguity and restore fine-grained contours. Evaluations on the official ISIC 2016 and ISIC 2018 splits, together with an internal evaluation using a nonstandard custom partition of ISIC 2017, indicate that the proposed architecture achieves competitive segmentation performance relative to recent representative models across multiple evaluation metrics. Controlled ablation studies further support the contributions of the functional components and loss supervision strategies. Additionally, in-domain evaluation on PH2 and bidirectional cross-dataset transfer between PH2 and ISIC 2018 provide complementary assessments of segmentation performance in within-dataset and cross-dataset settings. These findings indicate that Mamba-EdgeNet is a competitive approach for automated skin lesion segmentation with improved boundary representation.<\/jats:p>","DOI":"10.1088\/2057-1976\/aeada8","type":"journal-article","created":{"date-parts":[[2026,9,29]],"date-time":"2026-09-29T22:48:07Z","timestamp":1790722087000},"page":"055042","update-policy":"https:\/\/doi.org\/10.1088\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Mamba-EdgeNet: learnable edge-guided state space model for skin lesion segmentation"],"prefix":"10.1088","volume":"12","author":[{"ORCID":"https:\/\/orcid.org\/0009-0008-1671-5111","authenticated-orcid":true,"given":"Jiaming","family":"Xu","sequence":"first","affiliation":[{"name":"School of Electronic and Electrical Engineering, Shanghai University of Engineering Science"}],"role":[{"vocabulary":"crossref","role":"author"},{"role":"data-curation","vocabulary":"credit"},{"role":"formal-analysis","vocabulary":"credit"},{"role":"investigation","vocabulary":"credit"},{"role":"methodology","vocabulary":"credit"},{"role":"software","vocabulary":"credit"},{"role":"visualization","vocabulary":"credit"},{"role":"writing-original-draft","vocabulary":"credit"},{"role":"writing-review-editing","vocabulary":"credit"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1758-1828","authenticated-orcid":true,"given":"Qi","family":"Mao","sequence":"additional","affiliation":[{"name":"School of Electronic and Electrical Engineering, Shanghai University of Engineering Science"}],"role":[{"vocabulary":"crossref","role":"author"},{"role":"conceptualization","vocabulary":"credit"},{"role":"formal-analysis","vocabulary":"credit"},{"role":"funding-acquisition","vocabulary":"credit"},{"role":"investigation","vocabulary":"credit"},{"role":"methodology","vocabulary":"credit"},{"role":"project-administration","vocabulary":"credit"},{"role":"resources","vocabulary":"credit"},{"role":"supervision","vocabulary":"credit"},{"role":"writing-review-editing","vocabulary":"credit"}]},{"given":"Lei","family":"Qiu","sequence":"additional","affiliation":[{"name":"School of Electronic and Electrical Engineering, Shanghai University of Engineering Science"}],"role":[{"vocabulary":"crossref","role":"author"},{"role":"investigation","vocabulary":"credit"},{"role":"supervision","vocabulary":"credit"},{"role":"validation","vocabulary":"credit"}]},{"given":"Yu","family":"Chen","sequence":"additional","affiliation":[{"name":"School of Electronic and Electrical Engineering, Shanghai University of Engineering Science"}],"role":[{"vocabulary":"crossref","role":"author"},{"role":"investigation","vocabulary":"credit"},{"role":"supervision","vocabulary":"credit"}]},{"given":"Gongshuang","family":"Tao","sequence":"additional","affiliation":[{"name":"School of Electronic and Electrical Engineering, Shanghai University of Engineering Science"}],"role":[{"vocabulary":"crossref","role":"author"},{"role":"investigation","vocabulary":"credit"},{"role":"supervision","vocabulary":"credit"}]}],"member":"266","published-online":{"date-parts":[[2026,10,7]]},"reference":[{"key":"bpexaeada8bib1","doi-asserted-by":"publisher","first-page":"12","DOI":"10.3322\/caac.21820","type":"journal-article","article-title":"Cancer statistics, 2024","volume":"74","author":"Siegel","year":"2024","journal-title":"CA Cancer J. 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