Fig. 1: Flowchart depicting the development and evaluation of CRCNet.
From: Diagnostic evaluation of a deep learning model for optical diagnosis of colorectal cancer
a Model development consisted data curation and CRCNet training. b Evaluation of CRCNet on three test sets. c Comparison between CRCNet and five endoscopists on a subset of randomly selected cases. All CRC patients and 5050 control patients in the training set and all patients in three test sets have surgical specimen or biopsy for pathological evaluation.
