Detection of gastritis by a deep convolutional neural network from double-contrast upper gastrointestinal barium X-ray radiography
ConclusionsDeep learning techniques may be effective for evaluation of gastritis/non-gastritis. Collaborative use of DCNN-based gastritis detection systems and ABC (D) stratification will provide more reliable gastric cancer risk information.
Source: Journal of Gastroenterology - Category: Gastroenterology Source Type: research
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