The innovative microwave brain imaging system (MWI) allows to carry out a pre-diagnosis of the stroke in an ambulance and a continuous monitoring of bedridden patients, thanks to a non-invasive, easy-to-use, portable and low-cost device. The operating principle of the system exploits the dielectric contrast between healthy and pathological tissues at microwaves frequencies. The combination of artificial intelligence techniques and the proposed imaging method can effectively assist the clinician in making decisions about the therapeutic treatment of potential stroke patients. In this regard, my thesis project consists in the development of algorithms capable of solving classification problems. The aim of the work is therefore to identify the presence and the location within the head of the cerebral stroke, distinguishing the cases of ischemia from those of hemorrhage.