Classification of Thyroid Nodules in Ultrasound Images Based On Texture Analysis
نویسنده
چکیده
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.
منابع مشابه
Computerize classification of Benign and malignant thyroid nodules by ultrasound imaging
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