Exploring and validating the prognostic value of pathomics signatures and genomics in patients with cutaneous melanoma based on bioinformatics and deep learning.

Journal: Medical physics
Published Date:

Abstract

BACKGROUND: Cutaneous melanoma (CM) is the most common malignant tumor of the skin. Our study aimed to investigate the prognostic value of pathomics signatures for CM by combining pathomics and genomics.

Authors

  • Xiaoyuan Li
    Department of Traditional Chinese Medicine, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, China.
  • Xiaoqian Yu
    Department of Dermatology, Qingdao Haici Hospital (Qingdao Traditional Chinese Medicine Hospital), Qingdao, Shandong, China.
  • Duanliang Tian
    Department of Tuina, Qingdao Hiser Hospital Affiliated of Qingdao University (Qingdao Traditional Chinese Medicine Hospital), Qingdao, Shandong, China.
  • Yiran Liu
    Nursing Department, Chengfei Hospital, Chengdu, China.
  • Ding Li
    School of Pharmaceutical Sciences, Sun Yat-sen University, Guangzhou, 510006, China.