Texture modeling applied to medical images

This thesis presents novel descriptive multidimensional Markovian textural models applied to computer aided diagnosis in the field of X-ray mammography. The thesis presents two methods for breast density classification in X-ray mammography, several methods for completely automatic mammogram texture enhancement, and a new contrast criterion which outperforms previously published contrast criteria.