Tumor detection in brain magnetic resonance images using modified thresholding techniques

Abstract

Automated computerized image segmentation is very important for clinical research and diagnosis. The paper deals with two segmentation schemes namely Modified Fuzzy thresholding and Modified minimum error thresholding. The method includes the extraction of tumor along with suspected tumorized region which is followed by the morphological operation to remove the unwanted tissues. The performance measure of various segmentation schemes are comparatively analyzed based on segmentation efficiency and correspondence ratio. The automated method for segmentation of brain tumor tissue provides comparable accuracy to those of manual segmentation. © 2011 Springer-Verlag.