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Conditional random fields and supervised learning in automated skin lesion diagnosis.

Published in:International Journal of Biomedical Imaging pp. 10p - 11
Main Authors: Wighton P, Lee TK, Mori G, Lui H, McLean DI, Atkins MS
Format: algorithm diagnostic images equations & formulas research tables/charts Journal Article
Published: Wiley-Blackwell 2011
Online Access:View this record in EBSCOhost
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      jtl: International Journal of Biomedical Imaging
      issn: 16874188
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    pubinfo:
      dt: 2011
      pid: 480
      pub: Wiley-Blackwell
      place: Malden, Massachusetts
    artinfo:
      ui:
        104610034
        2011395325
        10.1155/2011/846312
        NLM22046177
        PMC3199211
        104610034
      ppf: 10p
      ppct: 1
      formats:
      tig:
        atl: Conditional random fields and supervised learning in automated skin lesion diagnosis.
      aug:
        au:
          Wighton P
          Lee TK
          Mori G
          Lui H
          McLean DI
          Atkins MS
        affil: Department of Computing Science, Simon Fraser University, Burnaby, BC, Canada V5A 1S6.
      sug:
        subj:
          Diagnosis, Computer Assisted
          Radiographic Image Interpretation, Computer-Assisted
          Skin Diseases Diagnosis
          Comparative Studies
          Funding Source
          Human
          Models, Theoretical
          ROC Curve
          Sensitivity and Specificity
      pubtype: Academic Journal
      doctype:
        algorithm
        diagnostic images
        equations & formulas
        research
        tables/charts
        Journal Article
      ougenre: Article
      ab:
    language: English
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