Open AccessArtificial intelligence system of faster region-based convolutional neural network surpassing senior radiologists in evaluation of metastatic lymph nodes of rectal cancer
Author(s) -
Lei Ding,
Guangwei Liu,
Baochun Zhao,
Yunpeng Zhou,
Shuai Li,
Zhengdong Zhang,
Yuting Guo,
Aiqin Li,
Yun Lu,
Hongwei Yao,
Weitang Yuan,
Guiying Wang,
Dianliang Zhang,
Lei Wang
Publication year - 2019
Publication title -
chinese medical journal/chinese medical journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.537
H-Index - 63
eISSN - 2542-5641
pISSN - 0366-6999
DOI - 10.1097/cm9.0000000000000095
Subject(s) - medicine , medical diagnosis , lymph node , convolutional neural network , colorectal cancer , radiology , magnetic resonance imaging , stage (stratigraphy) , proportional hazards model , cancer , artificial intelligence , computer science , paleontology , biology
An artificial intelligence system of Faster Region-based Convolutional Neural Network (Faster R-CNN) is newly developed for the diagnosis of metastatic lymph node (LN) in rectal cancer patients. The primary objective of this study was to comprehensively verify its accuracy in clinical use.