Automatic knee joint segmentation using Douglas-Rachford splitting method
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
http://link.springer.com/content/pdf/10.1007/s11042-019-08303-8.pdf
Reference39 articles.
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2. Berthiaume M-J et al (2005) Meniscal tear and extrusion are strongly associated with progression of symptomatic knee osteoarthritis as assessed by quantitative magnetic resonance imaging. Ann Rheum Dis 64(4):556–563
3. Carballido-Gamio J, Belongie SJ, Majumdar S (2004) Normalized cuts in 3-D for spinal MRI segmentation. IEEE Trans Med Imaging 23(1):36–44
4. Chang, K-Y, et al. (2009) Articular cartilage segmentation based on radial transformation. In: Proceedings of Ninth International Conference on Hybrid Intelligent Systems, 2009. HIS'09. Vol. 1. IEEE
5. Ding C, Cicuttini F, Jones G (2007) Tibial subchondral bone size and knee cartilage defects: relevance to knee osteoarthritis. Osteoarthr Cartil 15(5):479–486
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2. Region‐based two‐stage MRI bone tissue segmentation of the knee joint;IET Image Processing;2022-07-04
3. From classical to deep learning: review on cartilage and bone segmentation techniques in knee osteoarthritis research;Artificial Intelligence Review;2020-10-26
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