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Record #72164

Computer-aided decision-making system for endometrial atypical hyperplasia based on multi-modal and multi-instance deep convolution neural networks

Original paper date
Dec 16, 2021
Institution
Department of Pathology, West China Second University Hospital of Sichuan University, Chengdu, 610041, People’s Republic of China · Key Laboratory of Birth Defects and Related Diseases of Women and Children, (Sichuan University) Ministry of Education, Chengdu, 610041, People’s Republic of China · College of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, 611731, People’s Republic of China · Chengdu SinoRail Electronics CO. LTD., Chengdu, 610299, People’s Republic of China · Department of Obstetrics and Gynecology, West China Second University Hospital of Sichuan University, Chengdu, 610041, People’s Republic of China · Key Laboratory of Birth Defects and Related Diseases of Women and Children, (Sichuan University) Ministry of Education, Chengdu, 610041, People's Republic of China
Open access
No
Article type
Research Article
Broad categories
(B/T) Data Science(HSC) Medicine - Obstetrics/Gynecology
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2
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