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      Machine learning for improved pathological staging of prostate cancer : A performance comparison on a range of classifiers

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      Lam_2012.pdf (1.603Mb)
      Publication date
      05/2012
      Author
      Regnier-Coudert, Olivier
      McCall, John
      Lothian, Robert
      Lam, Thomas
      McClinton, Sam
      N'Dow, James
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      Citation
      Regnier-Coudert , O , McCall , J , Lothian , R , Lam , T , McClinton , S & N'Dow , J 2012 , ' Machine learning for improved pathological staging of prostate cancer : A performance comparison on a range of classifiers ' , Artificial Intelligence in Medicine , vol. 55 , no. 1 , pp. 25-35 . https://doi.org/10.1016/j.artmed.2011.11.003
      URI
      http://hdl.handle.net/2164/2417
      DOI
      https://doi.org/10.1016/j.artmed.2011.11.003
      Rights
      NOTICE: this is the author’s version of a work that was accepted for publication in Artificial Intelligence in Medicine. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in ARTIFICIAL INTELLIGENCE IN MEDICINE, [VOL 55, ISSUE 1, (2012)] DOI 10.1016/j.artmed.2011.11.003
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