… the various image classifiers designed and developed for the purpose of endoscopy focusing
specifically on WCE. It is revealed that designing a suitable image classifier is an important …

… is very challenging since endoscopy images are hampered … can detect multiple abnormalities
present in endoscopy images. … build an “image block dictionary (IBD)” classifier. The inputs …

… to detect and classify stomach diseases using endoscopy videos. … machine learning classifiers
for detection and classification. The … This means that 99.5% of our classifiers detected the …

… fed to classifiers. In this paper, we focus on lesion detection of endoscopy images and …
First of all, the image is segmented into patches after pre-processing. Then a CNN is trained …

… detect small intestine ulcer WCE images. As far as we know, the combination of multiple
classifiers in the field of endoscopic images … Experiments on our present image data show that it …

… into meaningful regions, decision mechanisms for final interpretation of the image and other
… of endoscopic bleeding. Also, improvement is possible in the area of decisive classifiers. …

… detection. This could significantly reduce the miss-detection rate during an endoscopy …
that appeared in the same image, the team used multiple classifiers, introducing a multi-task …

… detection scheme is developed in this study, which aims to detect small bowel tumors for
capsule endoscopy. … We apply three different classifiers for the purpose of discriminating small …

… Gan, “Automatic hookworm image detection for wireless capsule endoscopy using hybrid …
and bleeding detection in wce images using rusboost classifier,” Journal of Image Processing …

… detection and characterization in endoscopy. … image resolutions and assess its effects
on the performance of CNN-based image classifiers related to gastrointestinal (GI) endoscopy…