Thin Cap Fibroatheroma Detection in Virtual Histology Images Using Geometric and Texture Features

Thin Cap Fibroatheroma Detection in Virtual Histology Images Using Geometric and Texture Features

Atherosclerotic plaque rupture is the most common mechanism responsible for a majority of sudden coronary deaths. The precursor lesion of plaque rupture is thought to be a thin cap fibroatheroma (TCFA), or “vulnerable plaque”. Virtual Histology-Intravascular Ultrasound (VH-IVUS)...

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Bibliographic Details
Main Authors: Zahra Rezaei, Ali Selamat, Arash Taki, Mohd Shafry Mohd Rahim, Mohammed Rafiq Abdul Kadir, Marek Penhaker, Ondrej Krejcar, Kamil Kuca, Enrique Herrera-Viedma, Hamido Fujita
Format: Article
Language:English
Published: MDPI AG 2018-09-01
Series:Applied Sciences
Subjects:
thin cap fibroatheroma
VH-IVUS image segmentation
texture feature
Particle Swarm Optimisation (PSO)
back propagation neural network
Support Vector Machine (SVM)
Online Access:http://www.mdpi.com/2076-3417/8/9/1632

Internet

http://www.mdpi.com/2076-3417/8/9/1632

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