Call For Paper Volume:4 Issue:8 Aug'2017 |

CLASSIFICATION OF CAROTID PLAQUE USING ULTRASOUND IMAGE FEATURE ANALYSIS

Publication Date : 31/03/2015



Author(s) :

V.Bhuvaneshwari , D.Sasikala.


Volume/Issue :
Volume 2
,
Issue 3
(03 - 2015)



Abstract :

The aim of this study was to evaluate the risk of stroke by classifying the carotid plaques using ultrasound image feature analysis. Plaque is a buildup of White Blood Corpuscles, deposits within the wall of an artery. Plaques are generally classified into two types namely Symptomatic and Asymptomatic. Classification is done in order to predict the risk of stroke in early stages. In order to reduce the high degree of risk of stroke, techniques are needed to effectively classify the plaque tissues. Then for the classification, carotid plaque image features are needed. Then the carotid plaques image features are extracted using Gray-Level-Co-occurrence Matrix and extracted features are given to the classifier and the accuracy of Risk of stroke was evaluated.


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CLASSIFICATION OF CAROTID PLAQUE USING ULTRASOUND IMAGE FEATURE ANALYSIS

March 28, 2015