Marginal Space Learning for Medical Image Analysis Efficient Detection and Segmentation of Anatomical Structures /
Automatic detection and segmentation of anatomical structures in medical images are prerequisites to subsequent image measurements and disease quantification, and therefore have multiple clinical applications. This book presents an efficient object detection and segmentation framework, called Margin...
| Κύριοι συγγραφείς: | , |
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| Συγγραφή απο Οργανισμό/Αρχή: | |
| Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
| Γλώσσα: | English |
| Έκδοση: |
New York, NY :
Springer New York : Imprint: Springer,
2014.
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| Θέματα: | |
| Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- Introduction
- Marginal Space Learning
- Comparison of Marginal Space Learning and Full Space Learning in 2D
- Constrained Marginal Space Learning
- Part-Based Object Detection and Segmentation
- Optimal Mean Shape for Nonrigid Object Detection and Segmentation
- Nonrigid Object Segmentation: Application to Four-Chamber Heart Segmentation
- Applications of Marginal Space Learning in Medical Imaging
- Conclusions and Future Work.
