Automatic image segmentation becomes very crucial for tumor detection in medical image
processing. In general, manual and semi automatic segmentation techniques require more …

This paper presents a segmentation of brain lesion from diffusion-weighted magnetic
resonance images (DW-MRI or DWI) using a split and merge approach. The lesions are …

The diffusion‐weighted (DW) MR signal sampled over a wide range of b‐values potentially
allows for tissue differentiation in terms of cellularity, microstructure, perfusion, and T2 …

Analyzing cerebrovascular changes can significantly lead to not only detecting the presence
of serious diseases eg, hypertension and dementia, but also tracking their progress. Such …

One of the deadly and dangerous types of cancer seen in children and adults named Brain
tumor. Brain tumor's accurate and early diagnosis is significant for the treatment process …

The brain tumor is formed by abnormal cells that develop and reproduce unpredictably. A
timely diagnosis of a brain tumor amplifies the likelihood of living for the patient. Specialists …

The uncontrolled growth of cells in brain regions leads to the tumor regions and these
abnormal tumor regions are scanned by magnetic resonance imaging (MRI) technique as …

Brain tumors vary in their position, mass, nature, and consistency of these lesions. Due to
the similarities found between brain lesions and normal tissues, many challenges are faced …

In medical image processing, brain tumor detection and segmentation is a challenging and
time-consuming task. Magnetic Resonance Image (MRI) scan analysis is a powerful tool in …

In this paper a novel brain MR image segmentation method is presented based on self
organizing map (SOM) neural network. An accurate segmentation of brain tissues provides a …