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可解释的深度学习方法用于高精度的早期黑色素瘤检测,使用皮肤镜图像

Md Abdullah All Mahmud1, Sadia Afrin2, M F Mridha3

  • 1Department of Computer Science, American International University-Bangladesh, Dhaka, Bangladesh.

Scientific reports
|July 8, 2025
PubMed
概括

这项研究开发了一种先进的深度学习模型,用于从皮肤显微镜图像中早期检测皮肤黑色素瘤. 该系统实现了高精度,提高了诊断可靠性,并帮助医疗专家在早期癌症识别.

关键词:
深度学习是一种深度学习.皮肤显微镜图像 皮肤显微镜图像早期发现黑色素瘤的检测.可解释的人工智能旋转激活的激活方式

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