A new method is presented to quantify malignant changes in histological sections of prostate tissue immunohistochemically stained for prostate-specific antigen (PSA) by means of im...
Ulf-Dietrich Braumann, Jens-Peer Kuska, Markus L&o...
We propose semantic texton forests, efficient and powerful new low-level features. These are ensembles of decision trees that act directly on image pixels, and therefore do not ne...
Active Contour (or Snake) Model is recognized as one of the efficient tools for 2D/3D image segmentation. However, traditional snake models prove to be limited in several aspects...
We address the task of learning a semantic segmentation from weakly supervised data. Our aim is to devise a system that predicts an object label for each pixel by making use of on...
Segmenting an image into semantically meaningful parts is a fundamental and challenging task in computer vision. Automatic methods are able to segment an image into coherent region...
Yaar Schnitman, Yaron Caspi, Daniel Cohen-Or, Dani...