Mohammad, S. and Sofian, H. and Mohd. Noor, Norliza (2020) Automatic framework for the detection of coronary artery calcification in IVUS images. Test Engineering and Management, 83 . pp. 7984-7992. ISSN 0193-4120
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Abstract
The paper propose an automatic framework for the detection of coronary artery calcification in intravascular ultrasound (IVUS) images using texture analysis method. The texture features used is called Histogram of Equivalent Patterns (HEPs) Features. Experiments was conducted using 2175 IVUS images, 530 with calcification plague and 1645 without calci-fication plague. The images are from dataset B of MICCAI challenge 2011. The classifier used is 1-NN classifier. A 2-fold cross-validation process is applied to the IVUS image database to evaluate the performance of the proposed framework. The highest accuracy obtained is 95.89 %, using a variant of Com-pleted Local Binary Patterns (CLBP) descriptors as the features.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | intravascular ultrasound image, image classification, HEP features, calcification in IVUS image |
| Subjects: | T Technology > T Technology (General) > T58.6-58.62 Management information systems |
| Divisions: | Razak School of Engineering and Advanced Technology |
| ID Code: | 91273 |
| Deposited By: | Yanti Mohd Shah |
| Deposited On: | 30 Jun 2021 12:07 |
| Last Modified: | 30 Jun 2021 12:07 |
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