Fully automated segmentation of cartilage from the MR images of knee using a multi‐atlas and local structural analysis method

JG Lee, S Gumus, CH Moon, CK Kwoh… - Medical …, 2014 - Wiley Online Library
Purpose: To develop a fully automated method to segment cartilage from the magnetic
resonance (MR) images of knee and to evaluate the performance of the method on a public …
被引用次数：73 相关文章
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[HTML][HTML] Fully automated segmentation of cartilage from the MR images of knee using a multi-atlas and local structural analysis method

JG Lee, S Gumus, CH Moon, CK Kwoh, KT Bae - Medical Physics, 2014 - ncbi.nlm.nih.gov
Purpose: To develop a fully automated method to segment cartilage from the magnetic
resonance (MR) images of knee and to evaluate the performance of the method on a public …

Fully automated segmentation of cartilage from the MR images of knee using a multi‐atlas and local structural analysis method

JG Lee, S Gumus, CH Moon, CK Kwoh, KT Bae - Medical Physics, 2014 - cir.nii.ac.jp
抄録< jats: sec>< jats: title>< jats: bold> Purpose:</jats: bold></jats: title>< jats: p> To
develop a fully automated method to segment cartilage from the magnetic resonance (MR) …

Fully automated segmentation of cartilage from the MR images of knee using a multi-atlas and local structural analysis method

JG Lee, S Gumus, CH Moon, CK Kwoh, KT Bae - Medical Physics, 2014 - hub.hku.hk
Purpose: To develop a fully automated method to segment cartilage from the magnetic
resonance (MR) images of knee and to evaluate the performance of the method on a public …

Fully automated segmentation of cartilage from the MR images of knee using a multi‑atlas and local structural analysis method

JG Lee, S Gumus, CH Moon, CK Kwoh… - Medical …, 2014 - ui.adsabs.harvard.edu
Purpose: To develop a fully automated method to segment cartilage from the magnetic
resonance (MR) images of knee and to evaluate the performance of the method on a public …

Fully automated segmentation of cartilage from the MR images of knee using a multi-atlas and local structural analysis method

JG Lee, S Gumus, CH Moon, CK Kwoh… - Medical …, 2014 - pubmed.ncbi.nlm.nih.gov
Purpose To develop a fully automated method to segment cartilage from the magnetic
resonance (MR) images of knee and to evaluate the performance of the method on a public …

Fully automated segmentation of cartilage from the MR images of knee using a multi-atlas and local structural analysis method.

JG Lee, S Gumus, CH Moon, CK Kwoh, KT Bae - Medical Physics, 2014 - europepmc.org
Purpose To develop a fully automated method to segment cartilage from the magnetic
resonance (MR) images of knee and to evaluate the performance of the method on a public …