Automated classification of liver disorders using ultrasound images.

Abstract:

:This paper presents a novel approach for detection of Fatty liver disease (FLD) and Heterogeneous liver using textural analysis of liver ultrasound images. The proposed system is able to automatically assign a representative region of interest (ROI) in a liver ultrasound which is subsequently used for diagnosis. This ROI is analyzed using Wavelet Packet Transform (WPT) and a number of statistical features are obtained. A multi-class linear support vector machine (SVM) is then used for classification. The proposed system gives an overall accuracy of ~95% which clearly illustrates the efficacy of the system.

journal_name

J Med Syst

authors

Minhas Fu,Sabih D,Hussain M

doi

10.1007/s10916-011-9803-1

subject

Has Abstract

pub_date

2012-10-01 00:00:00

pages

3163-72

issue

5

eissn

0148-5598

issn

1573-689X

journal_volume

36

pub_type

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