Unsupervised non-small cell lung cancer tumor segmentation using cycled generative adversarial network with similarity-based discriminator.

Journal: Journal of applied clinical medical physics
Published Date: Apr 23, 2025

Abstract

BACKGROUND: Tumor segmentation is crucial for lung disease diagnosis and treatment. Most existing deep learning-based automatic segmentation methods rely on manually annotated data for network training.

Authors

  • Chengyijue Fang
    Department of Engineering and Applied Physics, University of Science and Technology of China, Hefei, Anhui, China.
  • Xiaoyang Li
    Department of Thoracic Surgery, West China Hospital of Sichuan University, Chengdu, 610041, China.
  • Yidong Yang
    Department of Engineering and Applied Physics, University of Science and Technology of China, Anhui, China.

Keywords

External Resources

Popular Topics
Recent Journals