Image Segmentation Techniques for Brain Tumor Detection: A Review

The detection of brain tumors is the most complex and extended task in medical image planning. Identifying, segmenting, and detecting the region of infection in brain tumor MRI images is a lengthy process. Image processing concepts can be used to think about the various anatomical structures of the human body. It is extremely hard to see irregular human brain frameworks utilizing simple imaging approaches. Here, the paper describes some techniques for segmenting images in order to identify brain tumors. Integrating the neural network with evolutionary algorithms leads to the evolution of the neural network and genetic algorithm. This paper incorporates a flexible approach resolving brain tumor detection using a genetic algorithm.