A comprehensive method of B-mode ultrasound image texture analysis for the determination
of the liver fibrosis stage is suggested. The algorithm is based on the use of Rotation Forest …

The specific texture on B-scan images is believed to be related to both ultrasound machine
characteristics and tissue properties, ie, the pathological states of the soft tissue. Therefore …

Texture analysis is viewed as a method to enhance the diagnosis power of classical B-mode
ultrasound image. Present study aims to evaluate the dependence between the human …

Diagnosing liver fibrosis using non invasive procedures is challenging because the visual
aspects in US imaging between healthy and fibrosis liver are very much alike. In this paper …

An analysis of speckle filtering influence on B-mode ultrasound image texture-based
determination of the liver fibrosis stage has been performed. We developed a …

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 …

Ultrasound Medical Imaging is currently the most popular modality for diagnostic application.
This imaging technique has been used for the detecting abnormalities associated with …

In this study, the classification of B-scan ultrasonic liver images using image texture analysis
techniques is investigated. The texture analysis algorithms used were the Gray Level …

This paper presents a method for classification of liver ultrasound images based on texture
analysis. The proposed method uses a set of seven texture features having high …

Ultrasound imaging is a powerful tool for characterizing the state of soft tissues; however, in
some cases, where only subtle differences in images are seen as in certain liver lesions …