BIOLOGICAL EARLY BRAIN CANCER DETECTION USING ARTIFICIAL NEURAL NETWORK
Computer aided diagnosis systems for detecting malignanttexture in biological study have been investigated usingseveral techniques. This paper presents an approach incomputer-aided diagnosis for early prediction of braincancer using Texture features and neuro classification logic.< Final Year Projects >The Tumor mass detection and Cluster microclassification is used as the processing method for cancerprediction. Nine distinct invariant features with calculationof minimum distance for the prediction of cancer are usedfor the prediction of tumor in a given MRI image. A neurofuzzy approach is used for the recognition of the extractedregion. The implementation is observed on various types ofMRI images with different types of cancer regions. The Tumor mass detection and Cluster microclassification is used as the processing method for cancerprediction.