Characterization of primary and secondary malignant liver lesions from B-mode ultrasound

J Virmani, V Kumar, N Kalra, N Khandelwal - Journal of digital imaging, 2013 - Springer
Abstract Characterization of hepatocellular carcinomas (HCCs) and metastatic carcinomas
(METs) from B-mode ultrasound presents a daunting challenge for radiologists due to their …

Classification of focal liver lesions on ultrasound images by extracting hybrid textural features and using an artificial neural network

YN Hwang, JH Lee, GY Kim… - Bio-medical materials …, 2015 - content.iospress.com
This paper focuses on the improvement of the diagnostic accuracy of focal liver lesions by
quantifying the key features of cysts, hemangiomas, and malignant lesions on ultrasound …

Classification of liver diseases based on ultrasound image texture features

SSD Xu, CC Chang, CT Su, PQ Phu - Applied Sciences, 2019 - mdpi.com
This paper discusses using computer-aided diagnosis (CAD) to distinguish between
hepatocellular carcinoma (HCC), ie, the most common type of primary liver malignancy and …

SVM-based characterization of liver ultrasound images using wavelet packet texture descriptors

J Virmani, V Kumar, N Kalra, N Khandelwal - Journal of digital imaging, 2013 - Springer
A system to characterize normal liver, cirrhotic liver and hepatocellular carcinoma (HCC)
evolved on cirrhotic liver is proposed in this paper. The study is performed with 56 real …

[PDF][PDF] PCA-SVM based CAD system for focal liver lesions using B-mode ultrasound images

J Virmani, V Kumar, N Kalra… - Defence Science …, 2013 - academia.edu
The contribution made by texture of regions inside and outside of the lesions in classification
of focal liver lesions (FLLs) is investigated in the present work. In order to design an efficient …

Texture analysis and classification of ultrasound liver images

S Gao, Y Peng, H Guo, W Liu, T Gao… - Bio-medical materials …, 2014 - content.iospress.com
Ultrasound as a noninvasive imaging technique is widely used to diagnose liver diseases.
Texture analysis and classification of ultrasound liver images have become an important …

An improved method for liver diseases detection by ultrasound image analysis

M Owjimehr, H Danyali… - Journal of Medical Signals …, 2015 - journals.lww.com
Ultrasound imaging is a popular and noninvasive tool frequently used in the diagnoses of
liver diseases. A system to characterize normal, fatty and heterogeneous liver, using textural …

Neural network ensemble based CAD system for focal liver lesions from B-mode ultrasound

J Virmani, V Kumar, N Kalra, N Khandelwal - Journal of digital imaging, 2014 - Springer
A neural network ensemble (NNE) based computer-aided diagnostic (CAD) system to assist
radiologists in differential diagnosis between focal liver lesions (FLLs), including (1) typical …

A comparative study of computer-aided classification systems for focal hepatic lesions from B-mode ultrasound

J Virmani, V Kumar, N Kalra… - Journal of medical …, 2013 - Taylor & Francis
A comparative study of three computer-aided classification (CAC) systems for
characterization of focal hepatic lesions (FHLs), such as cyst, hemangioma (HEM) …

Wavelet-packet-based texture analysis for differentiation between benign and malignant liver tumours in ultrasound images

H Yoshida, DD Casalino, B Keserci… - Physics in Medicine …, 2003 - iopscience.iop.org
The purpose of this study was to apply a novel method of multiscale echo texture analysis for
distinguishing benign (hemangiomas) from malignant (hepatocellular carcinomas (HCCs) …