Computerized brain tumor segmentation in magnetic resonance imaging

Computerized brain tumor segmentation in magnetic resonance imaging.

OBJECTIVE To propose an automatic brain tumor segmentation system. METHODS The system used texture characteristics as its main source of information for segmentation. RESULTS The mean correct match was 94% of correspondence between the segmented areas and ground truth. CONCLUSION Final results showed that the proposed system was able to find and delimit tumor areas without requiring any u...

magnetic resonance imaging in dentistry

چکیده ندارد.

Segmentation of Magnetic Resonance Brain Imaging Based on Graph Theory

Introduction: Segmentation of brain images especially from magnetic resonance imaging (MRI) is an essential requirement in medical imaging since the tissues, edges, and boundaries between them are ambiguous and difficult to detect, due to the proximity of the brightness levels of the images. Material and Methods: In this paper, the graph-base...

Multiple Sclerosis Lesions Segmentation in Magnetic Resonance Imaging using Ensemble Support Vector Machine (ESVM)

Background: Multiple Sclerosis (MS) syndrome is a type of Immune-Mediated disorder in the central nervous system (CNS) which destroys myelin sheaths, and results in plaque (lesion) formation in the brain. From the clinical point of view, investigating and monitoring information such as position, volume, number, and changes of these plaques are integral parts of the controlling process this dise...

Automated Segmentation and Classification of Brain Magnetic Resonance Imaging