In this paper a fully automated segmentation system for the femur in the knee in Magnetic Resonance Images and the brain in Single Photon Emission Computed Tomography images is pr...
We consider a recent parametric level-set segmentation approach where the implicit interface is the zero level of a continuous function expanded onto compactly supported radial ba...
Bayesian statistical theory is a convenient way of taking a priori information into consideration when inference is made from images. In Bayesian image detection, the a priori dist...
One of the objectives of precision agriculture is to minimize the volume of herbicides that are applied to the fields through the use of site-specific weed management systems. Thi...
Alberto Tellaeche, Xavier P. Burgos-Artizzu, Gonza...
Easy and neat set of lecture notes in Medical Image Analysis taught at West Virginia University by Prof. Tim McGraw. It covers several famous computer vision techniques such as act...