Improved classification and localization approach to small bowel capsule endoscopy using convolutional neural network

Abstract

Diagnostic sensitivity and classification of small bowel lesions using a convolutional neural network are improved by the independent training for hemorrhagic and ulcerative lesions. Grad-CAM is highly effective in localizing the lesions.