Design of Intelligent Technique for Abnormality Detection in MRI Brain Images

Abstract

This paper presents an intelligent technique particularly for MRI brain images. This introduces a clever method designed specifically for MRI brain pictures. To determine the abnormality in the brain images is processed using intelligent hybrid method of convolution neural networks and curvelet transform. Feature extraction, the logistic regression method (LRM), and learning algorithms are all used in the proposed model. Additionally, the categorization system identifies cancerous or non-cancerous tumours in the images of the brain. Results from experiments demonstrate how well model- and parameter-based analysis performs. The topic of minimum batch accuracy and validation accuracy, which are then contrasted with the current method, comes to a conclusion in the paper. This concept is suited to ongoing MRI image analysis activities. In this paper, previous paper has also be reviewed and their method is investigated.