… Esophagitis refers to in ammation or injury to the esophageal mucosa. The … of protruding
lesions in wireless capsule endoscopy images based on a deep convolutional neural network. …

… Patients should protrude their tongue from the oral cavity, with 109 particular … convolutional
neural networks (CNNs), ResNet tackles the 138 issues of vanishing gradients and network …

… A convolutional neural network (CNN) is a more advanced … The incidence of Barrett
esophagus (BE) and esophagus … of this model to the differential diagnosis of neoplastic and non…

… esophageal cancer burden of the world is from LMICs, with poor survival (3). The morbidity
and mortality due to GI causes … AI models have the potential to accurately diagnose GI lesions …

… in four independent convolutional neural networks: VGG16[… When identified, esophageal
premalignant lesions can be … for the detection of protruding lesions including polyps, nodules, …

… on early esophageal cancer identification, esophageal cancer … deep convolutional neural
network model (DCNN) to learn from a comprehensive dataset of previously confirmed lesions …

… lesions in the esophagus, stomach, and colon. The method divides superficial lesions into
… of the polyposis, the lesion morphology can be divided into protruded, flat elevated and flat. …

… using 5360 images with erosions and ulceration and validated it on 17,507 independent test
set images (7507 protruding lesions … , MQ A deep convolutional neural network for bleeding …

… Deep learning techniques, such as convolutional neural … esophagus lesions and 13
patients with nondysplastic Barrett's … a deep CNN to detect protruding lesions with diagnostic …