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Journal of Medical Systems

Erschienen in:

01.10.2012 | Original Paper

Automated Classification of Liver Disorders using Ultrasound Images

verfasst von: Fayyaz ul Amir Afsar Minhas, Durre Sabih, Mutawarra Hussain

Erschienen in: Journal of Medical Systems | Ausgabe 5/2012

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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.

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Titel: Automated Classification of Liver Disorders using Ultrasound Images
verfasst von: Fayyaz ul Amir Afsar Minhas
Durre Sabih
Mutawarra Hussain
Publikationsdatum: 01.10.2012
Verlag: Springer US
Erschienen in: Journal of Medical Systems / Ausgabe 5/2012
Print ISSN: 0148-5598
Elektronische ISSN: 1573-689X
DOI: https://doi.org/10.1007/s10916-011-9803-1

Live-Webinar "Urologie und Sexualmedizin in der Praxis"

Springer Medizin

Automated Classification of Liver Disorders using Ultrasound Images

Abstract

Live-Webinar "Urologie und Sexualmedizin in der Praxis"

Springer Medizin

Abstract

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