We propose a nonparametric, probabilistic model for the automatic segmentation of medical images, given a training set of images and corresponding label maps. The resulting inferen...
Mert R. Sabuncu, B. T. Thomas Yeo, Koenraad Van Le...
Image segmentation is discussed for years in numerous papers, but assessing its quality is mainly dealt with in recent works. Quality assessment is a primary concern for anyone wor...
We present a new semi-automatic segmentation tool, which is motivated by the Intelligent Scissors algorithm [1], but which uses a modified concept of user-interaction. This new in...
Dirk Farin, Magnus Pfeffer, Peter H. N. de With, W...