皮肤-CAD:可解释的深度学习分类皮肤癌从皮肤镜图像通过特征选择的双高层CNNs特征和转移学习的特征

Omneya Attallah1

  • 1Department of Electronics and Communications Engineering, College of Engineering and Technology, Arab Academy for Science, Technology and Maritime Transport, Alexandri, 21937, Egypt; Wearables, Biosensing, and Biosignal Processing Laboratory, Arab Academy for Science, Technology and Maritime Transport, Alexandria, 21937, Egypt.

概括

这项研究介绍了Skin-CAD,这是一个可解释的AI系统,用于从皮肤镜图像中分类皮肤癌 (SC). 它实现了高精度,帮助皮肤科医生在早期和精确的SC检测.

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