Application of Deep Learning on the Prognosis of Cutaneous Melanoma Based on Full Scan Pathology Images.

Journal: BioMed research international
Published Date: Aug 28, 2022

Abstract

INTRODUCTION: The purpose of this study is to use deep learning and machine learning to learn and classify patients with cutaneous melanoma with different prognoses and to explore the application value of deep learning in the prognosis of cutaneous melanoma patients.

Authors

  • Anhai Li
    Department of Dermatology, Qingdao Huangdao District Central Hospital, Qingdao, Shandong, China.
  • Xiaoyuan Li
    Department of Traditional Chinese Medicine, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, China.
  • Wenwen Li
    School of Geographical Sciences and Urban Planning, Arizona State University, Tempe, AZ 85287, USA.
  • Xiaoqian Yu
    Department of Dermatology, Qingdao Haici Hospital (Qingdao Traditional Chinese Medicine Hospital), Qingdao, Shandong, China.
  • Mengmeng Qi
    Department of Endocrinology, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, China.
  • Ding Li
    School of Pharmaceutical Sciences, Sun Yat-sen University, Guangzhou, 510006, China.

Keywords

External Resources

Popular Topics
Recent Journals