Learning to interpret medical images
Chris Taylor, Tim F. Cootes, Rhodri Huw Davies, Carole Twining · 2003
Statistical shape and appearance models are proving valuable tools for medical image analysis. In this paper we outline the methodology and highlight important recent developments. In particular, we consider an extension to images of differing modality, and describe an optimisation approach to establishing correspondences across a training set of shapes.