Gliomas are primary brain tumors with a high rate of malignancy: they account for 28% of all brain tumors and 80% of malignant brain tumors. Maximal tumor resection during surgery is one of the main goals in the treatment of these cancers as it improves the quality of life of the patients and their survival rate. In order to achieve maximal resection, glioma-infiltrated tumor margins must be correctly detected by a system that works in real time. To fulfill this purpose, traditional Magnetic Resonance Imaging (MRI) presents several limits, like elevated costs and a bulky device, and the development of in situ, fast segmentation algorithm is necessary.