An Real and Accurate Alzheimer’s, TIA and Tumours Diagnosis Process on MRI Brain Images Using LR Machine Learning Technique
In this investigation, brain-related disorders are identified on MRI brain images for real and accurate diagnosis process. Brain disorders are very harmful to human health conditions, and this can also be affected; the normal behaviour of body parts may tend to death. Many researchers implemented several brain disorders detection systems, but they are limited in functionality and disease types. Therefore improvement is needed in terms of fast diagnosis and brain disorders identification. This research work consists mainly of three types of brain disorders identification system, and these are ALZHEIMER’S, Transient Ischemic Attack (TIA) and Tumors. Realtime brain MRI images are collected with various orientations and different age group people for examination. Two steps are applied on selected images for Classification and prediction such as Logistic regression (LR) and threshold segmentation respectively. This TSLR model achieves more improvement and competes with modern technologies.