MRI Segmentation Using Fuzzy C-means Clustering Algorithm Basis Neural Network

The advantages of magnetic resonance imaging (MRI) over other diagnostic image modalities are its high spatial resolution and excellent discrimination of soft tissues. Many neurological conditions alter the shape, volume, and distribution of brain tissue; MRI is the preferred imaging modality for examining these conditions which requires segmentation into different intensity classes which are regarded as the best available representations for biological tissues. There is a need for computer analysis of MRI such as precise delineation of tumors and reliable, reproducible segmentation of images. The aim of this work is to propose a FCM clustering algorithm basis neural network for MRI segmentation.