The imagistic textural model of the prostatic adenocarcinoma

Abstract

The prostatic adenocarcinoma (ADKP) is the most frequent neoplasy and also the major cause of death for men in United States. Detecting this tumor by human eye from biomedical images is difficult and invasive methods like the prostate needle biopsy are dangerous for the patient. The aim of our research is to develop reliable, non-invasive, computerized methods in order to provide an accurate characterization of ADKP through textural features extracted from ultrasound images, for the final purpose of automatic diagnosis. Thus, in our previous works, we defined the textural imagistic model of ADKP, consisting in the non-redundant set of the best textural features appropriate for ADKP characterization and in the statistical parameters associated to each relevant feature. In this work, we extend the textural imagistic model of ADKP by adding new, more expressive textural features and by improving the feature selection methods through combining them in an efficient manner.