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» Semantic image segmentation using morphological tools
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109
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BILDMED
2008
118views Algorithms» more  BILDMED 2008»
15 years 5 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
16 years 5 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 8 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
138
Voted
CVPR
2010
IEEE
1135views Computer Vision» more  CVPR 2010»
15 years 11 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
127
Voted
ACCV
2006
Springer
15 years 9 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...