Logistic Regression Machine Learning Algorithm On Mri Brain Image For Fast And Accurate Diagnosis
In medical field fast and accurate diagnosis has required for treatment, but present technologies do not have such facility. So need to implement an efficient diagnosis application for effective treatment. In this work LR (Logistic Regression) based Machine Learning (ML) method for classification and global threshold segmentation for pre processing. At 1st stage image acquisition and de noising has been performed, 2nd stage classification and regression has attained with ML techniques. In this MRI brain Image computer aided automatic detection system for brain disorders and tumors has been proposed. Computational methods of this work are threshold segmentation followed by LR ML classifier. This experiment consists of 120 brain images of 15 normal and 105abnormal from real time MRI brain database. The performance metrics like accuracy on training and testing images is 99.46% has been obtain. This technique is compared to recently published techniques conclude that LR ML with Thsegmentation has Fastreal and accurate brain diagnosis system