Abstract
Brain tumor diagnosis using magnetic resonance images (MRI) is one of the hot topics of interest in medical field. In this paper, a novel approach for brain tumor diagnosis is proposed. Four major phases are involved in the proposed approach which are preprocessing, tumor segmentation, feature extraction and classification. Hybrid median filtering method is implemented to suppress noise. Otsu thresholding method is used for isolating tumor from its background tissues. Wavelet transform is adopted for feature extraction. Support vector machined is used for classifying the brain tumors. Classification potential of the proposed system is tested on Harvard and BRATS data set.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: International Academic Journal of Innovative Research
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
