Remote brain image segmentation
O. Kelle · 2003
Quantitative analysis of brain magnetic resonance (MR) images requires methods of tissue classification. New Web and Internet technologies allow remote MR image classification and visualization through browser functionality. Our application uses a method of segmentation based on the Markov random field (MRF) modeling of maximum a-posteriori (MAP) probability. The result of the segmentation can also be visualised as a VRML (Virtual Reality Modeling Language) world.