… high-quality endoscopic images were used from the same endoscope type and endoscopic
… using 1,200 colonoscopy images and 10 additional video images of unlearned processes. …

… Recently, deep learning (DL), in particular convolutional neural networks (… endoscopy image
analysis. This review focuses on the applications of DL methods in the analysis of GI images…

… Deep learning is an innovative algorithm based on neural networks. Wireless capsule
endoscopy (… review of the current literature pertaining to deep learning implementation in WCE. …

… -learning algorithm similar to deep learning, capable of recognizing specific features of gastric
endoscopy images… used 179 upper gastrointestinal endoscopy images obtained from 139 …

… image the esophagus, stomach and colon, miniaturization of hardware and improvement of
imaging sensors now enable endoscopy … improvements of clinical endoscopes allowing high …

… discriminative features with the deep learning method. In this paper, we propose an effective
and novel deep learning method, named stacked sparse autoencoder with image manifold …

… , consisting of 10,662 images from 23 different findings. We evaluate two CNN models for
endoscopic image classification under quality distortions with image resolutions ranging from …

… We are currently in the process of developing the deep learning system based on NBI images
to establish a more subjective method that combines the current white-light algorithm with …

… The deep learning model, … endoscopic video frame images in the present study, our lesion
detection model was Faster R-CNN with VGG16, which is one of the frequently used deep …

… In the present study, we established a deep learning-based system for identifying the …
endoscopy. This system was retrospectively evaluated and compared with experts using images, …