… Recent advances in deep convolutional neural networks (CNNs) have led to remarkable …
for the differential diagnosis of benign esophageal protruded lesions using endoscopic images …

… such as the colon, stomach, and esophagus, protruding lesions in the small intestine vary
in … diagnosis difficult. Appropriate CNN training with classification of the protruding lesions …

… Therefore, we propose a deep learning method based on a convolutional neural network (…
of 292 patients with protruding lesions to train a deep CNN to detect small intestinal protrusion …

… Differential diagnosis for esophageal protruded lesions using a deep convolution neural
network in … Computer-assisted diagnosis of early esophageal squamous cell carcinoma …

… Median accuracy of differential diagnosis of liver masses for test data were 0.84. Median …
of liver lesions. We included the following five categories of liver masses or mass-like lesions (…

… the diagnosis of protruding lesions, however, an esophageal … in esophageal optical and
endoscopic diagnostics is … endoscopists with a constructed convolutional neural network (CNN) …

… a convolutional neural network," Annals of Translational Medicine. , vol. 8 , no. … al, "Differential
diagnosis for esophageal protruded lesions using a deep convolution neural network in …

… Convolutional neural network (CNN) can be composed of … divided into three categories:
Protruded, flat, and depressed types… mapping of esophageal lesions through an endoscope. If AI …

… Recent advances in deep convolutional neural networks (CNNs) have led to remarkable …
for the differential diagnosis of benign esophageal protruded lesions using endoscopic images …

… [3] Convolutional neural network (CNN) is a powerful DL … included gastroesophageal reflux
disease, esophageal … to automatically detect various protruding lesions, including polyps, …