AUTOMATIC SEGMENTATION OF ANATOMICAL STRUCTURES USING DEFORMABLE MODELS AND BIO-INSPIRED/SOFT COMPUTING
This talk will be focused on the development of algorithms for the automatic segmentation of anatomical structures in biomedical images, particularly the hippocampus in histological images from the mouse brain. Such algorithms will be based on computer vision techniques and artificial intelligence methods. More precisely, on the one hand, we take advantage of statistical shape models to segment the anatomical structure under consideration and to embed the segmentation into an optimization framework. On the other hand, metaheuristics and classifiers are used to perform the optimization of the target function defined by the shape model (as well as to automatically tune the system parameters), and to refine the results obtained by the segmentation process, respectively. Different methods, with their corresponding advantages and disadvantages, will be introduced during the presentation.