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- W2783012320 abstract "Brain tumor detection and segmentation through the Magnetic Resonance Images (MRI) is a crucial task in tumor diagnostics. The accurate analysis of brain tumor images would improve the diagnosis, reduce the diagnostic time and lead to better treatment planning for patients. The analysis of tumor mostly depends on the expertise of the doctor. So, an automated system for brain tumor detection and segmentation is needed to handle the scarcity of the expertise. The accuracy of the tumor segmentation highly depends on the features used. There are many feature extraction techniques proposed for tumor detection and segmentation. Extraction of useful features from MR images is a challenging task as the brain tumor varies in size, shape, and structure. This paper surveys the methods and techniques used for feature extraction, for the purpose of brain tumor detection and segmentation from MR images." @default.
- W2783012320 created "2018-01-26" @default.
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- W2783012320 date "2017-04-01" @default.
- W2783012320 modified "2023-09-30" @default.
- W2783012320 title "A comprehensive study of features used for brian tumor detection and segmentation from Mr images" @default.
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- W2783012320 doi "https://doi.org/10.1109/ipact.2017.8245049" @default.
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