Classification of severity of pathological condition using hybrid image representation

A computer program product comprising a processor-readable storage medium having encoded therein executable code of one or more software programs, wherein the one or more software programs when executed by the one or more processors implement steps of:

• obtaining at least one image from which severity of a given pathological condition presented in the at least one image is to be classified;
• and
• generating a hybrid image representation of the at least one obtained image, wherein the hybrid image representation comprises a concatenation of a discriminative pathology histogram, a generative pathology histogram, and a fully connected representation of a trained baseline convolutional neural network, and wherein the hybrid image representation is used to train a classifier to classify the severity of the given pathological condition presented in the at least one image.