Development of automated 3D knee bone segmentation with inhomogeneity correction for deformable approach in magnetic resonance imaging
Author:
Affiliation:
1. South Dakota State University
2. Korea University Guro Hospital Guro-gu, Seoul, South Korea
3. Electronics and Telecommunications Research Institute, DaeJeon, South Korea
Funder
Korean government
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3264746.3264776
Reference48 articles.
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2. Medical Image Segmentation Using New Hybrid Level-Set Method
3. Gandhamal A. Talbar S. Gajre S. Razak R. Hani A. F. M. & Kumar D. (2017). Fully automated subchondral bone segmentation from knee MR images: Data from the Osteoarthritis Initiative. Computers in biology and medicine 88 110--125 10.1016/j.compbiomed.2017.07.008 Gandhamal A. Talbar S. Gajre S. Razak R. Hani A. F. M. & Kumar D. (2017). Fully automated subchondral bone segmentation from knee MR images: Data from the Osteoarthritis Initiative. Computers in biology and medicine 88 110--125 10.1016/j.compbiomed.2017.07.008
4. Losina E. Daigle M. E. Suter L. G. Hunter D. J. Solomon D. H. Walensky R. P. ... & Katz J. N. (2013). Disease-modifying drugs for knee osteoarthritis: can they be cost-effective?. Osteoarthritis and cartilage 21(5) 655--667. Losina E. Daigle M. E. Suter L. G. Hunter D. J. Solomon D. H. Walensky R. P. ... & Katz J. N. (2013). Disease-modifying drugs for knee osteoarthritis: can they be cost-effective?. Osteoarthritis and cartilage 21 (5) 655--667.
5. Felson D. T. (2013). Osteoarthritis as a disease of mechanics. Osteoarthritis and cartilage 21(1) 10--15. Felson D. T. (2013). Osteoarthritis as a disease of mechanics. Osteoarthritis and cartilage 21(1) 10--15.
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