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深度残留Xception 基于网络的肺癌检测使用CT图像

Selva Rani Balasubramaniam1, Deena Gnanasekaran2, Ilavarasan Sargunan3

  • 1Department of Information Technology, School of Computer Science Engineering and Information Systems, Vellore Institute of Technology, Vellore, India.

Cancer investigation
|November 13, 2025
PubMed
概括

一个新的深度残留Xception网络 (DRX-Net) 改善了从CT扫描中的肺癌 (LC) 检测. 这种人工智能方法提高了早期肺癌识别的诊断精度和效率.

关键词:
深度残留网络 深度残留网络深度残留Xception 网络模型维纳波器的过器一个Xception模型

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