Literature Survey on Detection of lumps in brain
Broadly, to produce images of soft tissue of human body, MRI images are used by experts. In medical research field faces the challenge of identifying brain lumps or cancer or tumor through Magnetic Resonance Images (MRI). For brain lumps or cancer detection, image segmentation is required. Systematizing this process is a tricky task because of the high diversity in the appearance of lumps tissues among different patients and in many cases similarity with the usual tissues. Physical segmentation of medical image by the radiologist is a monotonous and prolonged process. MRI is a highly developed medical imaging method providing rich information about the person soft-tissue structure. There are varied brain lumps recognition and segmentation methods to detect and segment a brain lumps from MRI images. This is well thought-out to be one of the most significant but tricky part of the process of detecting brain lumps. A variety of algorithms were developed for segmentation of MRI images by using different tools and methods. Alternatively this paper presents a comprehensive review of the methods and techniques used to detect brain lumps through MRI image.