Development of a Novel Approach for Classification of MRI Brain Images Using DWT by Integrating PCA, KSVM and GRB Kernel-Reference-Cited by-同舟云学术

Development of a Novel Approach for Classification of MRI Brain Images Using DWT by Integrating PCA, KSVM and GRB Kernel

Published:2021 Issue: Volume: Page:123-138
ISSN:2524-7565
Container-title:Algorithms for Intelligent Systems
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Author:

Arora Preeti,Ratan Rajeev

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-15-6707-0_13

Reference21 articles.

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3. S. Sawakare, D. Chaudhari, Classification of brain tumor using discrete wavelet transform, principal component analysis and probabilistic neural network. Int. J. Res. Emer. Sci. Technol. 1(6), (2014)

4. K. Kumar, K.T. Devi, An efficient method for brain tumor detection using texture features and SVM classifier in MR images. Asian Pac. J. Cancer Prev. 19(1), 2789–2794 (2018)

5. A.H. Heurtier, Texture feature extraction methods: a survey. IEEE Access 7(4), 8975–9000 (2019)

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