IVUS Tissue Characterization of Coronary Plaque by Classification Restricted Boltzmann Machine
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- Kuong Nguyen Trong
- Graduate School of Science and Engineering, Yamaguchi University
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- Uchino Eiji
- Graduate School of Science and Engineering, Yamaguchi University Fuzzy Logic Systems Institute
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- Suetake Noriaki
- Graduate School of Science and Engineering, Yamaguchi University
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Abstract
<p>The tissue characterization of coronary plaque is an important task to assess the atherosclerotic process and the potential risks of their ruptures on patient. Thanks to intravascular ultrasound (IVUS) medical imaging technique, the reflected ultrasound signals from tissues are acquired, then be used to visualize inside the artery by the computer-assisted equipment. Often, the characterization of tissues is based on the analysis of their responding echo intensity. However, the domination of various factors and the data robustness are the realistic challenges of IVUS classification problems. The quality of the visualization totally depends on the proposed classifier of descriptive features along with its algorithm. In this study, our objective is to characterize IVUS tissues by using classification restricted Boltzmann machine (ClassRBM). We propose to binarize feature patterns extracted from time domain signals for the input of ClassRBM. The results show a better evaluation compared to the conventional integrated backscatter IVUS method (IB-IVUS) for the same task.</p>
Journal
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- Journal of Advanced Computational Intelligence and Intelligent Informatics
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Journal of Advanced Computational Intelligence and Intelligent Informatics 21 (1), 67-73, 2017-01-20
Fuji Technology Press Ltd.
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Keywords
Details 詳細情報について
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- CRID
- 1390845713021427712
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- NII Article ID
- 130007520143
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- NII Book ID
- AA12042502
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- ISSN
- 18838014
- http://id.crossref.org/issn/18838014
- 13430130
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- NDL BIB ID
- 027855986
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- Text Lang
- en
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- Data Source
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- JaLC
- NDL
- Crossref
- CiNii Articles
- KAKEN
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- Abstract License Flag
- Disallowed