International Journal of Engineering Research in Electronics and Communication Engineering(IJERECE)

Monthly Journal for Electronics and Communication Engineering

Volume3,May 2016,

Topic : Classification of Thyroid Nodules in Ultrasound Images Based On Texture Analysis

Authors:Shruthi C V || Nanda S

Abstract:Thyroid is a butterfly-shaped gland in the front of the neck. It is found below the voice box. Thyroid nodule is one of the indicative of thyroid cancer. Nodule can be due to the growth of thyroid cells or a cyst in the thyroid gland. It is very important to differentiate between the thyroid nodule as benign or malignant. This paper presents characterization and classification of thyroid nodule using Ultrasonography. It includes extraction of set of features by using Gray Level Co-occurrence Matrix GLCM, Wavelet Transform and Local Ternary Pattern (LTP). These features are reduced to set of selected features by using PCA algorithm. The selected features are given to SVM classifier for the classification of thyroid nodule as benign or malignant. The performance of classifiers is evaluated with the accuracy, sensitivity and specificity..

Keywords: Gray level Co-occurrence Matrix (GLCM), Wavelet Transform, Local Ternary Pattern (LTP), Principal Component Analysis (PCA) and Support Vector Machine (SVM) Classifier..

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DOI: 01.1617/vol3iss5pid210


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Editor-in-Chief

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Dr.Zhongfu Tan
National Professor,
North China Electric Power University,
CHINA


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IMPACT FACTOR: 3.689

ISSN(Online): 2394-6849

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Thomson Reuters ID : q-6288-2016.
ORCiD Research ID : 0000-0001-9540-6799

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