Open AccessEstablishment and application of an artificial intelligence diagnosis system for pancreatic cancer with a faster region-based convolutional neural network
Author(s) -
Shanglong Liu,
Shuo Li,
Yuting Guo,
Yunpeng Zhou,
Zhengdong Zhang,
Shuai Li,
Yun Lu
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/cm9.0000000000000544
Subject(s) - pancreatic cancer , convolutional neural network , computer science , artificial intelligence , stage (stratigraphy) , pattern recognition (psychology) , cancer , receiver operating characteristic , feature extraction , feature (linguistics) , radiology , medicine , machine learning , paleontology , linguistics , philosophy , biology
Early diagnosis and accurate staging are important to improve the cure rate and prognosis for pancreatic cancer. This study was performed to develop an automatic and accurate imaging processing technique system, allowing this system to read computed tomography (CT) images correctly and make diagnosis of pancreatic cancer faster.