Computer-Aided Diagnosis

In last decade, computer-aided diagnosis was a rapidly growing field of research. This field aims to develop new image analysis techniques in order to assist doctor in image interpretation. Usually based on automatic pipeline involving preprocessing, feature extraction and feature classification; CAD can be dedicated to pathology detection or to predict its evolution. In addition, for some tasks, such as the simultaneous comparison of a large number of images or the detection of subtle anatomical changes caused by diseases, computer is now an essential tool.

In this field our main contributions are: i) the invention of a new scoring method (SNIPE) for brain morphometry analysis, ii) the proposition of a robust framework for patient's classification based on SNIPE, and iii) its validation for automatic and accurate detection of Alzheimer's Disease.