Titlebook: Information Processing in Medical Imaging; 21st International C Jerry L. Prince,Dzung L. Pham,Kyle J. Myers Conference proceedings 2009 Spr

尖酸一点

Regression Models of Atlas Appearanceions. Relative tissue volumes vs. age in models are also compared with tissue volumes vs. subject age in the original images. In both experiments, we found excellent agreement between the regression models and the comparison data. We conclude that regression appearance models are a promising new tec

receptors

Non-rigid Image Registration with Uniform Spherical Structure Patterns The USSP feature is integrated with the Markov random field (MRF) discrete labeling framework to define energy function for registration in this paper. If the segmentation results are available, explicit anatomical correspondence can be established as an additional energy term. The energy function

Cupping

A New Information-Theoretic Measure to Control the Robustness-Sensitivity Trade-Off for DMFFD Point-pooint-set registration derived as a generalization of the well-known Shannon entropy known as the Havrda-Charvat-Tsallis entropy. This divergence measure permits a fine-tuning between robustness and sensitivity emphasis. In addition, we employ a directly manipulated free-form deformation (DMFFD) tr

mercenary

https://doi.org/10.1007/978-3-642-02498-6Bayesian estimation; Radiologieinformationssystem; artificial neural network; brain imaging; cell analys

crucial

Congestion

Information Processing in Medical Imaging978-3-642-02498-6Series ISSN 0302-9743 Series E-ISSN 1611-3349

Flu表流动

Lecture Notes in Computer Sciencehttp://image.papertrans.cn/i/image/465169.jpg