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» Semantic image segmentation using morphological tools
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BILDMED
2008
118views Algorithms» more  BILDMED 2008»
14 years 11 months ago
Quantify Prostate Cancer by Automated Histomorphometry
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...
CVPR
2008
IEEE
15 years 11 months ago
Semantic texton forests for image categorization and segmentation
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...
Jamie Shotton, Matthew Johnson, Roberto Cipolla
ICPR
2002
IEEE
15 years 2 months ago
Image Segmentation Using Gradient Vector Diffusion and Region Merging
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...
Zeyun Yu, Chandrajit L. Bajaj
CVPR
2010
IEEE
1135views Computer Vision» more  CVPR 2010»
15 years 5 months ago
Towards Weakly Supervised Semantic Segmentation by Means of Multiple Instance and Multitask Learning.
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...
Alexander Vezhnevets, Joachim Buhmann
74
Voted
ACCV
2006
Springer
15 years 3 months ago
Inducing Semantic Segmentation from an Example
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...