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» A probabilistic model for classifying segmented images
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96
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ISBI
2004
IEEE
15 years 10 months ago
A Probabilistic Framework for the Detection and Tracking in Time of Multiple Sclerosis Lesions
A novel statistical scheme for the automatic detection and tracking in time of relapsing-remitting multiple sclerosis (MS) lesions in image sequences is described. Coherent space-...
Allon Shahar, Hayit Greenspan
ISBI
2006
IEEE
15 years 10 months ago
A tightly coupled region-shape framework for 3D medical image segmentation
Most hybrid 3D segmentation methods either heuristically couple the respective algorithm or combine a true 3D with a 2D algorithm due to computational considerations. In this pape...
Rui Huang, Vladimir Pavlovic, Dimitris N. Metaxas
58
Voted
ICPR
2010
IEEE
15 years 1 months ago
Image Parsing with a Three-State Series Neural Network Classifier
We propose a three-state series neural network for effective propagation of context and uncertainty information for image parsing. The activation functions used in the proposed mod...
Seyed Mojtaba Seyedhosseini Tarzjani, Antonio Paiv...
NIPS
2001
14 years 11 months ago
Bayesian time series classification
This paper proposes an approach to classification of adjacent segments of a time series as being either of classes. We use a hierarchical model that consists of a feature extract...
Peter Sykacek, Stephen J. Roberts
BMVC
1998
14 years 11 months ago
Segmentation of Global Motion using Temporal Probabilistic Classification
The segmentation of pixels belonging to different moving elements within a cinematographic image sequence underpins a range of post-production special effects. In this work, the s...
P. R. Giaccone, Graeme A. Jones