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 …

Medical image analysis is one of the major research areas in the last four decades. Many
researchers have contributed quite good algorithms and reported results. In this paper, real …

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 …

Image segmentation is an important and challenging factor in the medical image
segmentation. This paper describes segmentation method consisting of two phases. In the …

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 …

Medical images have an undeniably integral role in the process of diagnosing and treating
of a very large number of ailments. Processing such images (for different purposes) can …

The brain tumor is known as the main reason for death. Hence, knowing the type of brain
tumors plays an important role in diagnosis and treatment. Traditional invasive methods like …

Clustering approach is widely used in biomedical applications particularly for brain tumor
detection in abnormal magnetic resonance (MRI) images. Fuzzy clustering using fuzzy C …

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 …