Automatic detection of colon lesions and blood in colon capsule endoscopy

A computer-implemented method capable of automatically detecting clinically relevant pleomorphic colonic lesions and blood or hematic residues in medical images, comprising:

• detecting colonic lesions and blood or hematic residues in a medical images by classifying pixels as pleomorphic colonic lesions or blood or hematic residues using a convolutional image feature extraction step followed by a classification step and indexing such findings in a set of one of more classes wherein such method comprises:
• the pre-training of a sample of said images in a plurality of combinations of said convolutional image feature extraction step followed by a classification component architecture using pre-trained images as training data;
• training of said images with the architecture combination that performs the best;
• prediction of pleomorphic colonic lesions and blood traces using said optimized architecture combination;
• including an output collector with means of communication to third-party validation capable of interpreting the accuracy of the previous steps of the method and correcting a wrong prediction;
• storing the corrected prediction into the storage component.