[HTML][HTML] Differential diagnosis for esophageal protruded lesions using a deep convolution neural network in endoscopic images
M Zhang, C Zhu, Y Wang, Z Kong, Y Hua… - Gastrointestinal …, 2021 - Elsevier
Background and Aims Recent advances in deep convolutional neural networks (CNNs)
have led to remarkable results in digestive endoscopy. In this study, we aimed to develop
CNN-based models for the differential diagnosis of benign esophageal protruded lesions
using endoscopic images acquired during real clinical settings. Methods We retrospectively
reviewed the images from 1217 patients who underwent white-light endoscopy (WLE) and
EUS between January 2015 and April 2020. Three deep CNN models were developed to …
have led to remarkable results in digestive endoscopy. In this study, we aimed to develop
CNN-based models for the differential diagnosis of benign esophageal protruded lesions
using endoscopic images acquired during real clinical settings. Methods We retrospectively
reviewed the images from 1217 patients who underwent white-light endoscopy (WLE) and
EUS between January 2015 and April 2020. Three deep CNN models were developed to …
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