Open AccessEvaluation of Rectal Cancer Circumferential Resection Margin Using Faster Region-Based Convolutional Neural Network in High-Resolution Magnetic Resonance Images
Author(s) -
Dongsheng Wang,
Jihua Xu,
Zhengdong Zhang,
Shuai Li,
Xianxiang Zhang,
Yunpeng Zhou,
Xunying Zhang,
Yun Lu
Publication year - 2020
Publication title -
diseases of the colon and rectum
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.575
H-Index - 162
eISSN - 1530-0358
pISSN - 0012-3706
DOI - 10.1097/dcr.0000000000001519
Subject(s) - receiver operating characteristic , medicine , margin (machine learning) , magnetic resonance imaging , convolutional neural network , radiology , artificial intelligence , colorectal cancer , resection margin , nuclear medicine , resection , cancer , surgery , computer science , machine learning
High-resolution MRI is regarded as the best method to evaluate whether there is an involved circumferential resection margin in rectal cancer.