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Updated: Jun 8, 2025

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LesionNet:使用SIFT功能与定制的卷积神经网络进行皮肤病变分类的自动化方法

Sarah A Alzakari1, Stephen Ojo2, James Wanliss2

  • 1Department of Computer Sciences, College of Computer and Information Sciences, Princess Nourah Bint Abdulrahman University, Riyadh, Saudi Arabia.

Frontiers in medicine
|November 5, 2024
PubMed
概括

这项研究介绍了LesionNet,这是一种用于检测皮肤病变的计算机辅助诊断工具. 通过将规模不变特征转换 (SIFT) 与定制卷积神经网络相结合,它在识别黑色细胞病变时达到99.28%的准确性.

关键词:
在 SIFT 系统中,SIFT 功能是有特色的.计算机视觉 计算机视觉定制的CNN定制的CNN深度学习是一种深度学习.皮肤病变的分类 皮肤病变的分类

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