Title :
An Ultrasound-Based Computer-Aided Diagnosis Tool for Steatosis Detection
Author :
Ribeiro, Ricardo T. ; Tato Marinho, R. ; Sanches, J.M.
Author_Institution :
Inst. for Syst. & Robot., Lisbon, Portugal
Abstract :
Liver steatosis is a common disease usually associated with social and genetic factors. Early detection and quantification is important since it can evolve to cirrhosis. In this paper, a new computer-aided diagnosis (CAD) system for steatosis classification, in a local and global basis, is presented. A Bayes factor is computed from objective ultrasound textural features extracted from the liver parenchyma. The goal is to develop a CAD screening tool to help in the steatosis detection. Results showed an accuracy of 93.33%, with a sensitivity of 94.59% and specificity of 92.11%, using the Bayes classifier. The proposed CAD system is a suitable graphical display for steatosis classification.
Keywords :
biomedical equipment; biomedical ultrasonics; diseases; feature extraction; liver; medical image processing; ultrasonic equipment; Bayes classifier; Bayes factor; CAD screening tool; cirrhosis; disease; genetic factors; graphical display; liver parenchyma; social factors; steatosis classification; steatosis detection; ultrasound textural feature extraction; ultrasound-based computer-aided diagnosis tool; Accuracy; Design automation; Feature extraction; Liver; Sensitivity; Speckle; Standards; Classification; computer-aided diagnosis (CAD); steatosis; textural features; ultrasound (US);
Journal_Title :
Biomedical and Health Informatics, IEEE Journal of
DOI :
10.1109/JBHI.2013.2284785
