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AIME
2009
Springer
13 years 4 months ago
Segmentation of Lung Tumours in Positron Emission Tomography Scans: A Machine Learning Approach
Lung cancer represents the most deadly type of malignancy. In this work we propose a machine learning approach to segmenting lung tumours in Positron Emission Tomography (PET) scan...
Aliaksei Kerhet, Cormac Small, Harvey Quon, Terenc...
APBC
2004
126views Bioinformatics» more  APBC 2004»
13 years 8 months ago
Informative 3D Visualization of Multiple Protein Structures
With the continued growth of three dimensional structural information databases comes a corresponding increase in interest in this data for the study of new sequences and an ever-...
Paulo Lai, Warren Kaplan, W. Bret Church, Raymond ...
CG
2008
Springer
13 years 7 months ago
Parallel reflective symmetry transformation for volume data
Many volume data possess symmetric features that can be clearly observed, for example, those existing in diffusion tensor image data sets. The exploitations of symmetries for volu...
Yuan Hong, Han-Wei Shen
UAI
2008
13 years 8 months ago
Efficient Inference in Persistent Dynamic Bayesian Networks
Numerous temporal inference tasks such as fault monitoring and anomaly detection exhibit a persistence property: for example, if something breaks, it stays broken until an interve...
Tomás Singliar, Denver Dash
UAI
1996
13 years 8 months ago
An evaluation of structural parameters for probabilistic reasoning: Results on benchmark circuits
Many algorithms for processing probabilistic networks are dependent on the topological properties of the problem's structure. Such algorithmse.g., clustering, conditioning ar...
Yousri El Fattah, Rina Dechter