Assessment of established prognostic factors and artificial intelligence-based evaluation of tumor-infiltrating lymphocytes in oral tongue squamous cell carcinoma.

Abstract

Authors

• Jongwon Lee
  Center for Single Atom-based Semiconductor Device and Department of Materials Science and Engineering, Pohang University of Science and Technology (POSTECH), Pohang, Republic of Korea.
• Ming Fan
  Institute of Biomedical Engineering and Instrumentation, Hangzhou Dianzi University, Hangzhou 310018, China.
• Donghyeok Jo
  Department of Brain and Cognitive Engineering, Korea University, Seoul, Republic of Korea.
• Jungbok Lee
  Department of Clinical Epidemiology and Biostatistics, Asan Medical Center, Ulsan University College of Medicine, Seoul, Korea.
• Joon Seon Song
  Department of Pathology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea.
• Hee Jin Lee
  Department of Pediatrics, Yeungnam University College of Medicine, Daegu, Korea.
• Seung-Ho Choi
  Departments of Otorhinolaryngology-Head and Neck Surgery, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea. Electronic address: shchoi@amc.seoul.kr.
• Soon Yuhl Nam
  Department of Otorhinolaryngology-Head and Neck Surgery, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea.
• Yoon Se Lee
  Department of Otolaryngology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea.
• Dong-Joo Kim
  Department of Brain and Cognitive Engineering, Korea University.
• Kyung-Ja Cho
  Department of Pathology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea. Electronic address: kjc@amc.seoul.kr.

Keywords

External Resources