A Non-negative Matrix Factorization for IVUS Image Classification Using Various Kernels of SVM
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-16-5685-9_57
Reference10 articles.
1. Giannoglou VG, Stavrakoudis DG, Theocharis JB (2012) IVUS-based characterization of atherosclerotic plaques using feature selection and SVM classification. In: 2012 IEEE 12th international conference on bioinformatics & bioengineering (BIBE). IEEE, pp 715–720
2. Sridevi S, Sundaresan M (2019) Evaluation of classification techniques for IVUS images. In: 2019 6th international conference on computing for sustainable global development (INDIACom). IEEE, pp 998–1002
3. Brathwaite P, Nagaraj A, Kane B, McPherson DD, Dove EL (2002) Automatic classification and differentiation of atherosclerotic lesions in swine using IVUS and texture features. In: Computers in cardiology. IEEE, pp 109–112
4. Giannoglou VG, Stavrakoudis DG, Theocharis JB, Petridis V (2012) Genetic fuzzy rule-based classification systems for tissue characterization of intravascular ultrasound images. In: 2012 IEEE international conference on fuzzy systems. IEEE, pp 1–8
5. Rajan A (2018) Classification of intravascular ultrasound images based on non-negative matrix factorization features and maximum likelihood classifier. Int J Adv Signal Image Sci 4(1):16–22
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