Development and validation of a feature extraction-based logical anthropomorphic diagnostic system for early gastric cancer: A case-control study

Development and validation of a feature extraction-based logical anthropomorphic diagnostic system for early gastric cancer: A case-control study

Summary: Background: Prompt diagnosis of early gastric cancer (EGC) is crucial for improving patient survival. However, most previous computer-aided-diagnosis (CAD) systems did not concretize or explain diagnostic theories. We aimed to develop a logical anthropomorphic artificial intelligence (AI)...

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Bibliographic Details
Main Authors: Jia Li, Yijie Zhu, Zehua Dong, Xinqi He, Ming Xu, Jun Liu, Mengjiao Zhang, Xiao Tao, Hongliu Du, Di Chen, Li Huang, Renduo Shang, Lihui Zhang, Renquan Luo, Wei Zhou, Yunchao Deng, Xu Huang, Yanxia Li, Boru Chen, Rongrong Gong, Chenxia Zhang, Xun Li, Lianlian Wu, Honggang Yu
Format: Article
Language:English
Published: Elsevier 2022-04-01
Series:EClinicalMedicine
Subjects:
Feature extraction
Logical anthropomorphic artificial intelligence
Early gastric cancer
Magnifying image enhanced endoscopy
Online Access:http://www.sciencedirect.com/science/article/pii/S2589537022000967

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http://www.sciencedirect.com/science/article/pii/S2589537022000967

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