A SURVEY ON DIFFERENT TECHNIQUES USED FOR BRAIN TUMOR DETECTION WITH MRI IMAGES

Humans are the most abundant and widespread species in this environment and have thinking power with a large complex brain. The brain is made up of billions of nerves, if any of these nerves get damaged, it caused the “Brain Tumor”. The human body is made up of several molecules that handle the full functionality of the body. But when human lives are affected by drastic diseases then it affects the survival rates of humans. These diseases must be predicted at an early stage by professionals so human lives will be free from these diseases. Nowadays, advanced technology plays an important role in the medical field and detects diseases properly. Machine Learning and Deep Learning technologies are very efficient and can solve complex data in lesser time. Conventional Neural Networks in deep learning has many algorithms and make an effective model for the prediction of brain tumor easily. Many Researchers are conducting experiments to diagnose the disease using ML and DL techniques used for brain tumor prediction. This paper presents a detailed review and comparative study of existing ML and DL techniques used in the early prediction of brain tumors. This paper will help future researchers to make better decisions and to know which datasets and techniques are used in previous research work.