Knee cartilage: efficient and reproducible segmentation on high-spatial-resolution MR images with the semiautomated graph-cut algorithm method.

Detalles Bibliográficos
Publicado en:Radiology Vol. 251; no. 2; pp. 548 - 557
Autores principales: Shim H, Chang S, Tao C, Wang JH, Kwoh CK, Bae KT
Formato: research Journal Article
Publicado: Wolters Kluwer Health 2009 May
Acceso en línea:Ver este registro en EBSCOhost
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      dt: 2009 May
      vid: 251
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      pub: Wolters Kluwer Health
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        atl: Knee cartilage: efficient and reproducible segmentation on high-spatial-resolution MR images with the semiautomated graph-cut algorithm method.
      aug:
        au:
          Shim H
          Chang S
          Tao C
          Wang JH
          Kwoh CK
          Bae KT
        affil: Department of Radiology, University of Pittsburgh School of Medicine, Pittsburgh, PA 15213, USA.
      sug:
        subj:
          Algorithms
          Cartilage, Articular Pathology
          Image Interpretation, Computer Assisted Methods
          Information Science Methods
          Knee Joint Pathology
          Magnetic Resonance Imaging Methods
          Osteoarthritis, Knee Pathology
          Artificial Intelligence
          Image Enhancement Methods
          Reproducibility of Results
          Sensitivity and Specificity
          Human
      pubtype: Academic Journal
      doctype:
        research
        Journal Article
      ougenre: Article
      ab:
    language: English
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