Knee cartilage: efficient and reproducible segmentation on high-spatial-resolution MR images with the semiautomated graph-cut algorithm method.
| Publicado en: | Radiology Vol. 251; no. 2; pp. 548 - 557 |
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| Autores principales: | , , , , , |
| Formato: | research Journal Article |
| Publicado: |
Wolters Kluwer Health
2009 May
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=105517079&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 105517079 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 00338419 0IQ jtl: Radiology issn: 00338419 maglogo: N pubinfo: dt: 2009 May vid: 251 iid: 2 pid: 79357 pub: Wolters Kluwer Health place: New York, New York artinfo: ui: 105517079 105517079 2010266019 10.1148/radiol.2512081332 NLM19401579 105517079 ppf: 548 ppct: 9 formats: tig: 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 refInfo: holdings: @attributes: islocal: N |
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