Automated segmentation and analysis of tree-like structures from 3D medical images are important for many medical applications, such as those dealing with blood vasculature or lun...
We present an approach to visual object-class recognition and segmentation based on a pipeline that combines multiple, holistic figure-ground hypotheses generated in a bottom-up,...
We propose a novel method for the validation of vascular segmentations. Our technique combines morphological operators and the STAPLE algorithm to obtain ground truth of centerline...
Julien Jomier, Vincent LeDigarcher, Stephen R. Ayl...
The availability of quantitative online benchmarks for
low-level vision tasks such as stereo and optical flow has led
to significant progress in the respective fields. This paper...
Christoph Rhemann (Vienna University of Technology...
We present a quantitative evaluation of SE-MinCut, a novel segmentation algorithm based on spectral embedding and minimum cut. We use human segmentations from the Berkeley Segment...