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训练有素的神经网络框架基于皮肤癌的诊断和分类使用灰狼优化.

Amit Kumar K1, Satheesha T Y2, Syed Thouheed Ahmed3

  • 1School of Engineering, CMR University, Bengaluru, India.

Scientific reports
|April 23, 2024
PubMed
概括

这项研究引入了联合学习 (FL) 与灰狼优化 (GWO) 进行皮肤癌诊断,达到95.82%的准确性. 这种方法增强了数据分类和属性提取,以改善诊断模型.

关键词:
功能分类功能分类.联合学习是联合学习.皮肤癌检测 皮肤癌检测训练有素的神经网络

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