An efficient brain segmentation technique of magnetic resonance image (MRI) is proposed for the sake of atrophy detection. Early detection of brain atrophy indicates many neurodiseases. The paper also proposes a new simple assessment for brain atrophy as an atrophy ratio measure. Experiments on cognitive normal and atrophied MRI Brain images demonstrate the promising segmentation results of the...

Image segmentation is one of the most important tasks in medical image analysis and is often the first and the most critical step in many clinical applications. In brain MRI analysis, image segmentation is commonly used for measuring and visualizing the brain's anatomical structures, for analyzing brain changes, for delineating pathological regions, and for surgical planning and image-guided in...

Computer aid diagnosis for brain MRI image is widely used in hospitals. An important step in it is to recognize different regions within an MRI image according to medical experience. In this paper, we propose an unsupervised learning algorithm for automatic segmentation of MRI images. Different from previous methods, our method achieves the idea of visual segmentation, which simulates the think...

Image Segmentation is an important and challenging factor in the field of medical image processing. In the present days, for the human body anatomical study and for the treatment planning medical science very much depend on the medical imaging technology and medical images. Specifically for the human brain, MRI (Magnetic Resonance Imaging) widely prefers and using for the imaging. But by nature...

Tumor classification and segmentation of brain magnetic resonance imaging (MRI) image data is an important but time consuming task performed manually by medical experts. Automating this process is challenging due to the high diversity in appearance of tumor tissue among different patients and in many cases, similarity between tumor and normal tissue. Brain imaging segmentation is a complex and ...

Unlike research on brain segmentation of Magnetic Resonance Imaging (MRI) data, research on Computed Tomography (CT) brain segmentation is relatively scarce. Because MRI is better at differentiating soft tissue, it is generally preferred over CT for brain imaging. However, in some circumstances, MRI is contraindicated and alternative scanning methods need to be used. We have begun to explore me...

Image segmentation is an essential procedure in many applications of image processing. Image segmentation can be classified to boundary representation and regional representation. Magnetic Resonance Image (MRI) is one of the best technologies currently being used for diagnosing Brain Tumor in advanced stages. MRI is a form of medical imaging using nuclear magnetic resonance of protons in the bo...