Representation and modelling of cirrhosis and hepatocarcinoma from ultrasound images using texture-based methods

Aims: Non-invasive, image based detection of diseases is one of the most important issues in nowadays research. The purpose of this paper is to establish imagistic models for cirrhosis and hepatocarcinoma. This task will consist in specifying those textural parameters that are relevant for each class, respectivelly in analysing these parameters, for finding the most probable intervals of variation and statistical values like their average, their minimum and maximum value and standard deviation. Methods: For features extraction, we use the Gray Level Cooccurence Matrix, edge-based statistics, the Hurst fractal in…