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Fully automated segmentation of cartilage from magnetic resonance images using improved 3D shape context and active shape model  T. Ye, X. Cui, H. Kim 

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Presentation on theme: "Fully automated segmentation of cartilage from magnetic resonance images using improved 3D shape context and active shape model  T. Ye, X. Cui, H. Kim "— Presentation transcript:

1 Fully automated segmentation of cartilage from magnetic resonance images using improved 3D shape context and active shape model  T. Ye, X. Cui, H. Kim  Osteoarthritis and Cartilage  Volume 23, Pages A301-A302 (April 2015) DOI: /j.joca Copyright © Terms and Conditions

2 Figure 1(left) ground truth of cartilage, (middle) original ASM algorithm segmentation result, (right) improved ASM algorithm. Osteoarthritis and Cartilage  , A301-A302DOI: ( /j.joca ) Copyright © Terms and Conditions

3 Figure 2. Segmentation results in 2D images.
Osteoarthritis and Cartilage  , A301-A302DOI: ( /j.joca ) Copyright © Terms and Conditions

4 Figure 3. Comparison of ASM and proposed method.
Osteoarthritis and Cartilage  , A301-A302DOI: ( /j.joca ) Copyright © Terms and Conditions

5 Figure 4. Comparison of ASM and proposed method using VOE and VD.
Osteoarthritis and Cartilage  , A301-A302DOI: ( /j.joca ) Copyright © Terms and Conditions

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