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Updated: Jan 11, 2026

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使用基于VGG19的特征编码进行变压器辅助皮肤癌分类

Fallah H Najjar1,2, Zaid Nidhal Khudhair3,4, Farhan Mohamed5,6

  • 1Department of Emergent Computing, Faculty of Computing, Universiti Teknologi Malaysia, Johor Bahru, 81310, Johor, Malaysia. fallahnajjar@atu.edu.iq.

Scientific reports
|November 17, 2025
PubMed
概括

一个新的混合深度学习模型VGG19-RSPDA-ViT通过结合本地和全球特征来改善皮肤癌的检测. 这种方法提高了诊断的准确性和概括性,为自动化皮肤病学提供了一个有前途的工具.

关键词:
图像增强 图像增强 图像增强皮肤癌是一种皮肤癌.皮肤病变的分类 皮肤病变的分类在VGG19-RSPDA-ViTT中.

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