WITHDRAWN: Thyroid tissue segmentation and classification in ultrasound image of Artificial intelligence

Abstract

This paper suggests that it be based on a new device method for benign or malignant ultrasound examination of thyroid tissues. Ultrasound imaging is a medical instrument that is mostly used to identify and classify thyroid disorders. The suggested solution consists of four essential phases: Segmentation, grouping, pre-processing and extraction of features. Rayleigh trimmed anisotropic diffusion filter is used for pre-processing purposes. An ABC algorithm is used to break down the nodule field. Artificial neural network (ANN) and support vector machine (SVM) classifiers are used for classification tasks, using feature vectors extracted from the Gray Level Co-occurrence (GLCM) functions. Classification findings are analyzed on the basis of precision, resilience and specificity. It is derived that the SVM classifier offers better performance than the ANN for distinguishing benign and malignant nodules, achieving precision of 92.5 per cent, and sensitivity of 96.66 per cent and specificity of 80 per cent.