SkinAttn-Net:,

Ömer Faruk Söylemez1

  • 1Faculty of Engineering, Department of Computer Engineering, Dicle University, Diyarbakir, 21200, Turkey. osoylemez@dicle.edu.tr.

Scientific reports
|December 25, 2025
PubMed
概括

通过整合注意力机制,SkinAttn-Net改善了用于黑色素瘤检测的皮肤病变细分. 这种深度学习模型增强了皮肤镜图像的边界精度和全球上下文理解.