CADdy — Colposcopy learning machine for computer aided diagnosis

The study and development of a decision support system for doctors and students is presented, aiming to ease the diagnosis of the cervix cancer through an automated smart system: using a web application, a medical expert can upload colposcopie images feeding an expert system that carries out a deep analysis by a processing system on images uploaded by doctors; results coming out of the processing system are presented by a user friendly system suggesting the decision to the the medical expert who is able to confirm or change it, and annotate information. If changed, the diagnosis is sent to the expert system, developed on a reinforcement learning scheme, to tune decision parameters and enhance detection rates. The paper present the work in progress preliminary results of the system being developed.