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Building networks for image segmentation using particle competition and cooperation
(2017-01-01)
Particle competition and cooperation (PCC) is a graph-based semi-supervised learning approach. When PCC is applied to interactive image segmentation tasks, pixels are converted into network nodes, and each node is connected ...
Interactive image segmentation of non-contiguous classes using particle competition and cooperation
(2015-01-01)
Semi-supervised learning methods employ both labeled and unlabeled data in their training process. Therefore, they are commonly applied to interactive image processing tasks, where a human specialist may label a few pixels ...
Vectorized algorithms for quadtree construction and descent
(2012-10-01)
This paper presents vectorized methods of construction and descent of quadtrees that can be easily adapted to message passing parallel computing. A time complexity analysis for the present approach is also discussed. The ...
Vectorized algorithms for quadtree construction and descent
(2012-10-01)
This paper presents vectorized methods of construction and descent of quadtrees that can be easily adapted to message passing parallel computing. A time complexity analysis for the present approach is also discussed. The ...
Interactive Image Segmentation using Particle Competition and Cooperation
(Ieee, 2015-01-01)
Many interactive image processing approaches are based on semi-supervised learning, which employ both labeled and unlabeled data in its training process. In the interactive image segmentation problem, a human specialist ...
Biópsia do linfonodo sentinela para o câncer de mama com anestesia local
(2010)
Introduction: The technique of sentinel lymph node biopsy (SLB) is the gold standard method to predict the axilar status for breast cancer. However, the intraoperative evaluation of the sentinel lymph node has disadvantages. ...