Brain tumor segmentation consists of separating the different tumor tissues (solid or active
tumor, edema, and necrosis) from normal brain tissues: gray matter (GM), white matter (WM) …

Brain tumor analysis plays an important role in medical imaging applications and in
delivering a huge amount of anatomical and functional information, which increases and …

Magnetic Resonance Imaging (MRI) is one of the best technologies currently being used for
diagnosing brain tumor. Brain tumor is diagnosed at advanced stages with the help of the …

Image segmentation is one of the most challenging techniques in the field of medical image
processing. Brain tumor segmentation is emerging technique in this field. This paper refers …

Image segmentation denotes a process of partitioning an image into distinct regions. A large
variety of different segmentation approaches for images have been developed. Among …

Segmentation of images holds an important position in the area of image processing. It
becomes more important while typically dealing with medical images where pre-surgery and …

Magnetic resonance (MR) images are a very useful tool to detect the tumor growth in brain
but precise brain image segmentation is a difficult and time consuming process. In this paper …

This paper explores the possibility of applying techniques for segmenting the regions of
medical image. For this we need to investigate the use of different techniques which helps …

Brain tumour is one of the most dangerous disease occurring commonly among human
beings. The chances of survival can be increased if the tumour is detected correctly at its …

Ant Colony Optimization (ACO) metaheuristic is a recent population-based approach
inspired by the observation of real ants colony and based upon their collective foraging …