State-of-the-art performance of deep learning methods for pre-operative radiologic staging of colorectal cancer lymph node metastasis: a scoping review.

Journal: BMJ open
PMID:

Abstract

OBJECTIVES: To assess the current state-of-the-art in deep learning methods applied to pre-operative radiologic staging of colorectal cancer lymph node metastasis. Specifically, by evaluating the data, methodology and validation of existing work, as well as the current use of explainable AI in this fast-moving domain.

Authors

  • Benjamin Keel
    School of Computing, University of Leeds, Leeds, UK mm17b2k@leeds.ac.uk.
  • Aaron Quyn
    Leeds Teaching Hospitals NHS Trust, Leeds, UK.
  • David Jayne
    Leeds Teaching Hospitals NHS Trust, Leeds, UK.
  • Samuel David Relton
    Leeds Institute of Health Sciences, University of Leeds, Leeds, UK.