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- W3044664748 abstract "Image segmentation denotes a process of partitioning an image into distinct regions. Clustering methods have been extensively investigated and used among a large variety of segmentation approaches. MATLAB is widely used software for the study of brain tumor detection from MRI scan images. The process includes image pre-processing, image segmentation, feature extraction and classification technique. This present work proposes a method to detect the tumor regions effectively from the brain MRI scan images. In this paper, Graph Cut Method algorithm to Detect Tumour regions is proposed for medical image segmentation. A new unsupervised MR image segmentation method based on Graph Cut algorithm for the Segmentation is presented. This paper describes a segmentation method consists of two phases. In the first phase, the MRI brain image is acquired from the patient database from which artifacts and noise are removed. In the second phase (MR) image segmentation is to accurately identify the principal tissue structures in these image volumes." @default.
- W3044664748 created "2020-07-29" @default.
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- W3044664748 date "2020-07-01" @default.
- W3044664748 modified "2023-09-23" @default.
- W3044664748 title "Graph Cut Method based Segmentation of Magnetic Resonance (MRI) Images of the Brain" @default.
- W3044664748 hasPublicationYear "2020" @default.
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