Survey on Brain Tumor Detection using Machine Learning and Deep Learning
V. Sravya, S. Malathi
Abstract
Abnormal growth of cell in brain is known as Brain tumor. Some are benign and some are malignant. Brain tumor can start in brain or it can spread from any part of the body and this is one of deadly cancers across all ages. Major challenge in identifying brain tumor is isolation of abnormal cell. Early detection of brain tumor and its grade is very essential to provide appropriate service. Non invasive methodology of MR has made researches more inclined towards MR images. Medical Image processing was extensively used for more than a decade on MR images to detect tumor by applying segmentation and classification. Though there are many advantages with automated classification, still major challenges hover due to various grades, various shapes, various size and area. Over a decade researches had made giant leaps using combinations of various techniques in extraction, segmentation and classification. With advances technology of Machine Learning and Deep Learning the classification accuracy has gone higher. Here we present study of various techniques used for identifying and classifying brain tumors.