SkinFormer: a hybrid vision transformer and ConvNeXtV2 approach for skin cancer detection and segmentation

Abstract Skin cancer remains one of the most prevalent and deadly forms of cancer globally, where early detection plays a critical role in improving survival rates. In this study, we introduce SkinFormer, a novel hybrid deep learning architecture primarily designed for binary skin lesion classificat...

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Hlavní autoři:	Yinyin Fu, Chengjun Guo
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Nature Portfolio 2026-04-01
Edice:	Scientific Reports
Témata:	Cutaneous Carcinoma Deep Learning Vision Transformer ConvNeXtV2 Lesion Segmentation Medical Image Analysis
On-line přístup:	https://doi.org/10.1038/s41598-026-48633-w
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