An superior achievement of brain tumor detection using segmentation based on F-transform

The brain tumor segmentation studies based on MRI are attracting more and more attention in recent years due to non-invasive imaging and good soft tissue contrast. This paper describes the proposed approach for detection and extraction brain tumor from MRI scan images of brain. Asymmetry of brain is used for detection of abnormality, after detect of the tumor. The segmentation based on F-transform (Fuzzy-Transform) and morphological operations are performed to delineating brain tumor boundaries and calculate the area of the tumor. The F-transform is a professional intelligent method to handle uncertain information and to extract the salient edges. Accuracy and precision are co-dependent. The accuracy of 96% and precision of 95% were found in detection of brain tumor using the proposed approach. The experimental results showed that the proposed algorithm produces perfectly accurate performance to brain tumor detection for MRI brain images.

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