Spine detection and labeling using a parts-based graphical model
| Autor: | Stefan, Schmidt, Jörg, Kappes, Martin, Bergtholdt, Vladimir, Pekar, Sebastian, Dries, Daniel, Bystrov, Christoph, Schnörr |
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| Rok vydání: | 2007 |
| Předmět: |
Reproducibility of Results
Image Enhancement Magnetic Resonance Imaging Models Biological Sensitivity and Specificity Spine Pattern Recognition Automated Imaging Three-Dimensional Artificial Intelligence Subtraction Technique Image Interpretation Computer-Assisted Computer Graphics Humans Computer Simulation Algorithms |
| Zdroj: | Information processing in medical imaging : proceedings of the ... conference. 20 |
| ISSN: | 1011-2499 |
| Popis: | The detection and extraction of complex anatomical structures usually involves a trade-off between the complexity of local feature extraction and classification, and the complexity and performance of the subsequent structural inference from the viewpoint of combinatorial optimization. Concerning the latter, computationally efficient methods are of particular interest that return the globally-optimal structure. We present an efficient method for part-based localization of anatomical structures which embeds contextual shape knowledge in a probabilistic graphical model. It allows for robust detection even when some of the part detections are missing. The application scenario for our statistical evaluation is spine detection and labeling in magnetic resonance images. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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