Deep-Learning for the Diagnosis of Esophageal Cancers and Precursor Lesions in Endoscopic Images: A Model Establishment and Nationwide Multicenter Performance Verification Study

Deep-Learning for the Diagnosis of Esophageal Cancers and Precursor Lesions in Endoscopic Images: A Model Establishment and Nationwide Multicenter Performance Verification Study

Background: Suspicion of lesions and prediction of the histology of esophageal cancers or premalignant lesions in endoscopic images are not yet accurate. The local feature selection and optimization functions of the model enabled an accurate analysis of images in deep learning. Objectives: To establ...

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Bibliographic Details
Main Authors: Eun Jeong Gong, Chang Seok Bang, Kyoungwon Jung, Su Jin Kim, Jong Wook Kim, Seung In Seo, Uhmyung Lee, You Bin Maeng, Ye Ji Lee, Jae Ick Lee, Gwang Ho Baik, Jae Jun Lee
Format: Article
Language:English
Published: MDPI AG 2022-06-01
Series:Journal of Personalized Medicine
Subjects:
convolutional neural network
deep learning
endoscopy
esophageal cancers
Online Access:https://www.mdpi.com/2075-4426/12/7/1052

Internet

https://www.mdpi.com/2075-4426/12/7/1052

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