Endoscopic detection and differentiation of esophageal lesions using a deep neural network
Abstract
Background and Aims Diagnosing esophageal squamous cell carcinoma (SCC) depends on individual physician expertise and may be subject to interobserver variability. Therefore, we developed a computerized image-analysis system to detect and differentiate esophageal SCC. Methods A total of 9591 nonmagnified endoscopy (non-ME) and 7844 ME images of pathologically confirmed superficial esophageal SCCs and 1692 non-ME and 3435 ME images from...
Paper Details
Title
Endoscopic detection and differentiation of esophageal lesions using a deep neural network
Published Date
Feb 1, 2020
Journal
Volume
91
Issue
2
Pages
301 - 309.e1
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