Novel and Efficient prediction of Brain disorders using deep learning
Annotatsiya
Present research growing with deep learning technologies. Deep learning models implementing on human health to detect health disorders. CNN used is a deep learning model used in proposed research to prediction brain disorders such as brain tumor. When processing a large number of MRI images, the conventional tumor analysis method depends on the doctor visually examining the person, which may lead to miss classifications. To lower the rate of human error, Proposed system introduces classification system that automatically n categorizes picture into no tumor and positive tumor. Brain tumors are among the diseases that claim the lives of most people worldwide. The chance of survival can be raised if the brain tumor is detected early on. MRI is a technique used to study the brain and detect diseases. CNN is used in proposed research to predict brain tumor with highest accuracy 97% over over existing research methods.Proposed research also used machine learning techniques such as Support vector machine(SVM) to predict brain tumor and achieved 94% accuracy.