Selective Invocation of Shape Priors for Deformable Segmentation and Morphologic Classification of Prostate Cancer Tissue Microarrays

Active Contours (AC) can be categorized as boundary-based (first generation) and region-based (second generation) schemes [20,3,5]. Most AC models are not intrinsically capable of handling object occlusion or scene clutter. Therefore, the integration of shape priors into the variational formulation represents a natural way to overcome occlusion. Third generation (hybrid) AC models involve combining a shape prior with geometric/geodesic active contours that simultaneously achieves registration and segmentation [21,26,4].
Source: Computerized Medical Imaging and Graphics - Category: Radiology Authors: Source Type: research