BRAIN TUMOR ANALYSIS FOR MRI IMAGE SEGMENTATION USING SEEDED REGION GROWING AND PCNN

In this paper, we analysis the feature extraction of brain image disease like brain tumor segmentation using the technique called seeded region & PCNN. Brain Magnetic Resonance Image segmentation is a complex problem in the field of medical aging despite various presented methods. MR image of human brain can be divided into several sub-regions especially soft tissues such as gray matter, white matter and cerebrospinal fluid. This thesis paper investigates two algorithms to segment brain tissues and to implement the competent one through simulations by MATLAB software. Segmentation of the brain structure from magnetic resonance imaging (MRI) has received paramount importance as MRI distinguishes itself from other modalities and MRI can be applied in the volumetric analysis of brain tissues such as multiple sclerosis, schizophrenia, epilepsy, Parkinson’s disease, Alzheimer’s disease, cerebral atrophy, etc.,