Multi class Latent Concept Pooling for Computer Aided Endoscopy Diagnosis

Successful computer-aided diagnosis systems typically rely on training datasets containing sufficient and richly annotated images. However, detailed image annotation is often time consuming and subjective, especially for medical images, which becomes the bottleneck for the collection of large datase