CLASSIFICATION OF INTRAVASCULAR ULTRASOUND IMAGES BASED ON NON-NEGATIVE MATRIX FACTORIZATION FEATURES AND MAXIMUM LIKELIHOOD CLASSIFIER

CLASSIFICATION OF INTRAVASCULAR ULTRASOUND IMAGES BASED ON NON-NEGATIVE MATRIX FACTORIZATION FEATURES AND MAXIMUM LIKELIHOOD CLASSIFIER

The amount of plaque in coronary arteries in any particular point is identified by the IntraVascular UltraSound (IVUS) images. The classification of IVUS images is very important to diagnose various coronary artery diseases. In this study, the classification of IVUS images based on Non-negative Matr...

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Bibliographic Details
Main Author: Rajan A
Format: Article
Language:English
Published: XLESCIENCE 2018-06-01
Series:International Journal of Advances in Signal and Image Sciences
Subjects:
intravascular ultrasound image classification, frost filtering, non-negative matrix factorization, maximum likelihood classifier
Online Access:https://xlescience.org/index.php/IJASIS/article/view/31

Internet

https://xlescience.org/index.php/IJASIS/article/view/31

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