使WassersteinFTIR,

Rose G McHardy1,2, Georgios Antoniou2, Justin J A Conn2

  • 1Department of Pure and Applied Chemistry, Thomas Graham Building, 295 Cathedral Street, University of Strathclyde, Glasgow, G1 1XL, UK. david.palmer@dxcover.com.

The Analyst
|July 12, 2023
PubMed
概括

瓦斯斯坦生成对抗网络 (WGAN) 通过增加有限的患者血清数据来增强癌症诊断的深度学习模型. 这种数据增强显著改善了卷积神经网络 (CNN) 的诊断性能.