Skin lesion segmentation with a multiscale input fusion U-Net incorporating Res2-SE and pyramid dilated convolution

Abstract Skin lesion segmentation is crucial for identifying and diagnosing skin diseases. Accurate segmentation aids in identifying and localizing diseases, monitoring morphological changes, and extracting features for further diagnosis, especially in the early detection of skin cancer. This task i...

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Autori principali:	Zhihui Liu, Jie Hu, Xulu Gong, Fuzhong Li
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	Nature Portfolio 2025-03-01
Serie:	Scientific Reports
Soggetti:	Skin lesion segmentation Deep learning Multiscale input fusion Squeeze and excitation Pyramid dilated convolution Residual structures
Accesso online:	https://doi.org/10.1038/s41598-025-92447-1
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