Brain Tumor Classification using Probabilistic Neural Network
In this paper, Probabilistic Neural Network with image and data processing techniques was employed to implement an automated brain tumor classification. The conventional method for medical resonance brain images classification and tumors detection is by human inspection. Operator-assisted classification methods are impractical for large amounts of data and are also non-reproducible. Medical Resonance images contain a noise caused by operator performance which can lead to serious inaccuracies classification. Hence such noises are removed using median filtering algorithm. Decision making was performed in two stages: feature extraction using the principal component analysis and the Probabilistic Neural Network (PNN).