A SSLBP-based feature extraction framework to detect bones from knee MRI scans
Author:
Affiliation:
1. South Dakota State University
2. Electronics and Telecommunications Research Institute, DaeJeon, South Korea
3. Utica College
Funder
Korean Government
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3264746.3264778
Reference26 articles.
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2. Automatic segmentation of the bone and extraction of the bone–cartilage interface from magnetic resonance images of the knee
3. MRI Bone Segmentation Using Deformable Models and Shape Priors
4. A. R. Lanfranco A. E. Castellanos J. P. Desai and W. C. Meyers. 2004. Robotic Surgery A Current Perspective Lippincott Williams & Wilkins. A. R. Lanfranco A. E. Castellanos J. P. Desai and W. C. Meyers. 2004. Robotic Surgery A Current Perspective Lippincott Williams & Wilkins.
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