Medical Data Technology for Automatic Diagnosis System

New industries utilising image processing technology in the medical business, notably for sickness detection, are emerging as a result of the popularity of image processing and its benefits. Grayscale images, such as X-rays and CT scans, provide a classification problem in medical applications since only grey channel information is available and no chronic information is available. A convolutional neural network (CNN) is utilised to detect breast cancer in this study, with huge coloured MRI images used to train the CNN model. Other models used were Random Forest, K-nearest Neighbour, and Nave Biase. CNN\'s cancer prediction accuracy of 95.12 percent may be maintained in the future.