Artificial intelligence for the diagnosis of lymph node metastases in patients with abdominopelvic malignancy: A systematic review and meta-analysis.

Abstract

Authors

• Sergei Bedrikovetski
  Discipline of Surgery, Faculty of Health and Medical Science, School of Medicine, University of Adelaide, Adelaide, SA, Australia.
• Nagendra N Dudi-Venkata
  Discipline of Surgery, Faculty of Health and Medical Science, School of Medicine, University of Adelaide, Adelaide, South Australia, Australia; Colorectal Unit, Department of Surgery, Royal Adelaide Hospital, Adelaide, South Australia, Australia.
• Gabriel Maicas
  Australian Institute for Machine Learning, The University of Adelaide, Australia. Electronic address: gabriel.maicas@adelaide.edu.au.
• Hidde M Kroon
  Colorectal Unit, Department of Surgery, Royal Adelaide Hospital, Adelaide, South Australia, Australia.
• Warren Seow
  Discipline of Surgery, Faculty of Health and Medical Science, School of Medicine, University of Adelaide, Adelaide, South Australia, Australia.
• Gustavo Carneiro
  Australian Centre for Visual Technologies, The University of Adelaide, Australia. Electronic address: gustavo.carneiro@adelaide.edu.au.
• James W Moore
  Discipline of Surgery, Faculty of Health and Medical Science, School of Medicine, University of Adelaide, Adelaide, South Australia, Australia; Colorectal Unit, Department of Surgery, Royal Adelaide Hospital, Adelaide, South Australia, Australia.
• Tarik Sammour
  Colorectal Unit, Department of Surgery, Royal Adelaide Hospital, Adelaide, SA, Australia. tarik.sammour@gmail.com.

Keywords

External Resources