Abstract. We propose a new generative model, and a new image similarity kernel based on a linked hierarchy of probabilistic segmentations. The model is used to efficiently segment ...
ITK is an open-source, cross-platform system that provides developers with an rich algorithms for image analysis. ITK employs the state-of-the-art algorithms for registering and s...
We present a new brain segmentation framework which we apply to T1-weighted magnetic resonance image segmentation. The innovation of the algorithm in comparison to the state-of-the...
Torsten Butz, Patric Hagmann, Eric Tardif, Reto Me...
This paper describes methods for segmenting planar surfaces from noisy 3D data obtained from correlation stereo vision. We make use of local planar surface elements called patchle...
We present an intuitive, fast and accurate interactive segmentation method for visualizing and analyzing 3D medical images. Our method combines a general deformable subdivision-sur...