2026-10-13T03:17:13Z https://www.scidb.cn/oai

10.57760/sciencedb.crad.00011 2026-04-30T08:49:45Z

2026-04-30 Code related to the TDBVM network doi:10.57760/sciencedb.crad.00011 en This resource is the supporting code for the paper "Skin lesion segmentation based on topological priors and dual branch visual Mamba", mainly used to reproduce the TDBVM method proposed in the paper. This method adopts a dual encoder architecture to extract topological structure priors and deep semantic features separately. The topology branch introduces a multi-color space topology component extraction module to generate a topology information graph. Through multi-scale fusion mechanism, topological priors effectively guide visual feature learning, enhance the model's perception ability of complex boundaries and lesion morphology, and effectively suppress artifact interference. The code supports model training, inference testing, and experimental reproduction, and can be used to verify the relevant experimental settings and results in the paper.  skin lesion segmentation; visual state space model; topological data analysis; persistent homology; dual-branch network xu zhen xi RESTRICTED dataset http://www.doi.org/10.7544/issn1000-1239.202550492 Science Data Bank