… The deep learning algorithm was developed by training a convolutional neural network …
there were enhanced nodular lesions protruding into the lumen of the esophagus or stomach [11…

… using convolutional neural networks for real-time detection of early esophageal neoplasia in
Barrett's esophagus … of enteric protruding lesions using a convolutional neural network. Rev …

… We have split the images of Barrett’s esophagus into two … They have mainly three different
shapes; protruding in the … Each method is based on deep convolutional neural networks, …

… exist, such as convolutional neural networks (CNNs), recurrent neural … of differential
diagnosis of benign esophageal protruded lesions, which can be used to distinguish esophageal …

… , 10,000 without lesions, and 7507 with protruding lesions). … patients to train a deep
convolutional neural network (DCNN). … , early esophageal and gastric cancer, and bleeding …

… . applied deep learning using convolutional neural networks to detect … During photography,
the tongue's apex was protruded and … and validated using 1118 images from 47 esophageal …

… the diagnosis of various gastrointestinal lesions such as colorectal polyps, esophageal …
results of modeling endoscopic images in a convolutional neural network (CNN) under NBI …

… Convolutional Neural Network A convolutional neural network (CNN) is mainly designed to
process images, … This DL algorithm accurately detected protruding lesions in CCE images. …

… with the use of deep learning (DL) technology, including convolutional neural networks (CNNs). …
of five types of GI lesions: normal dysplastic Barrett’s esophagus, suspicious area, high-…

… based on convolutional neural networks accompanied … lesions included white light (WL)
and narrow band imaging (NBI) frames, while the remaining 14 lesions are recorded only using …