Automated benign & malignant thyroid lesion characterization and classification in 3D contrast-enhanced ultrasound

Abstract

In this work, we present a Computer Aided Diagnosis (CAD) based technique for automatic classification of benign and malignant thyroid lesions in 3D contrast-enhanced ultrasound images. The images were obtained from 20 patients. Fine needle aspiration biopsy and histology confirmed malignancy. Discrete Wavelet Transform (DWT) and texture based features were… (More)

Topics

5 Figures and Tables

Cite this paper

@article{Acharya2012AutomatedB, title={Automated benign & malignant thyroid lesion characterization and classification in 3D contrast-enhanced ultrasound}, author={U. R. Acharya and Sree S. Vinitha and Francesca Molinari and Roberto Garberoglio and Anna M Witkowska and J S Suri}, journal={2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society}, year={2012}, pages={452-455} }