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可解释的深度学习用于使用swish激活卷积网络检测皮肤癌症.

Subhayan Mukherjee1, Khushbu Chandrakar2, Subrata Chowdhury3

  • 1Department of Artificial Intelligence & Machine Learning, Asansol Engineering College, Asansol, India.

Discover oncology
|January 10, 2026
PubMed
概括

这项研究引入了深层卷积神经网络 (DCNN) 进行精确的皮肤癌诊断,达到超过98%的准确性. 可解释性AI (XAI) 确保了透明度,帮助医生在早期和精确检测皮肤病变.

关键词:
医疗保健中的AI深度卷积神经网络 (DCNN) 是一个深度卷积神经网络.可解释的人工智能 (XAI)梯度加权类激活映射 (Grad-CAM) 的使用地方可解释的模型不可知解释 (LIME)

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