Tytuł pozycji:
Automatic computer estimation of histological Fuhrman grade in kidney cancer
The paper presents an automatic approach to
assessment of the stage of development of the kidney cancer on
the basis of Fuhrman grades. The stage of advancement level of
cancer is usually associated with 4 Fuhrman grades. Our
approach to Fuhrman grade assessment is composed of few steps.
The first one is extraction of the numerical features from the
microscopic image of the histological slides of the biopsy of
kidney by using mathematical morphology. The next step is the
features selection providing descriptors of the best class
separating abilities. The last one is application of the automatic
classifiers and data mining techniques to assign the actually
available samples to one of four classes.
Michał Kruk