Brain tumor detection by using a modified FCM and Level set algorithms

Segmentation is a vital role in medical image processing, where clustering technique widely used in medical application particularly for brain tumor detection in MRI. The aim of this research is to carry out a new technique for detecting a brain tumor from MRI images in the goal to design a new cooperative approach for the biomedical framework. First, we introduce the notion of FCM which incorporates the spatial information to get a better estimation of the clusters centers then the results obtained are considered as an initialization of the active edge for the Level set. During the application of this method, multiple initializations have been carried out to set the initial parameters. The results found after the implementation are satisfactory, which allows us to say that the use of a combined method of several segmentation algorithms allows to have better results and also a high diagnosis accuracy.