Morphometric measures and geometrical features are widely used to descript faces. Generally, they are extracted punctually from landmarks, namely anthropometric reference points. The aims are various, such as face recognition, facial expression recognition, face detection, study of changes in facial morphology due to growth, or dysmorphologies. Most of the time, landmarks were extracted with th...

CONTEXT Oral squamous cell carcinoma (OSCC) is a malignant neoplasm of epithelial tissue origin. OSCC is traditionally graded into well, moderate and poorly differentiated. The assessment of cellular and nuclear features is very important in the histological grading of OSCC. AIMS To establish morphometric study as an important prognostic indicator of OSCC. SETTINGS AND DESIGN The present st...

The paper provides a preview of some work in progress on the computer system to support breast cancer diagnosis. Diagnosis approach is based on microscope images of the FNB (Fine Needle Biopsy) and assumes distinguishing malignant from benign cases. Studies conducted focus on two different problems, the first concern the extraction of morphometric parameters of nuclei present in cytological ima...

Background Frontotemporal lobar degeneration (FTLD) is associated with diverse clinical phenotypes underlain by multiple disease pathologies and genetic mutations. As such, traditional structural MRI analyses lack sensitivity specificity for discriminating FTLD syndromes. Here, we use data-driven methods to extract a concise set of MRI-derived shape morphometric features examine the discriminat...

We have developed a family of quantitative descriptors in order to provide noninvasive, reliable means of distinguishing benign from malignant breast lesions. These include acoustic descriptors (“echogenicity,” “heterogeneity,” “shadowing”) and morphometric descriptors (“area,” “aspect ratio,” “border irregularity,” “margin definition”). These quantitative descriptors are designed to be indepen...