Urology
Volume 54, Issue 6 , Pages 949-951 , December 1999

Artificial neural networks in urology: CON

  • Arnon Krongrad

      Affiliations

    • South Florida Prostate Cancer Project, Stein Gerontological Institute, Miami, Florida, USA
    • Geriatric Research Education and Clinical Center, VA Medical Center, Miami, Florida, USA
    • Corresponding Author InformationReprint requests: Arnon Krongrad, M.D., 4701 North Meridian Avenue, Suite 300, Miami Beach, FL 33140
    • ,
  • Shenghan Lai

      Affiliations

    • South Florida Prostate Cancer Project, Stein Gerontological Institute, Miami, Florida, USA

Received 1 June 1999 ,Revised 26 July 1999 ,Accepted 26 July 1999.

References 

  1. Hastie T. Neural network. In:  Armitage P,  Colton T editor. Encyclopedia of Biostatistics. vol 4:New York: John Wiley; 1998;p. 2986–2989
  2. Weiner MG, Williams SV. Neural networks. In:  Armitage P,  Colton T editor. Encyclopedia of Biostatistics. vol 1:New York: John Wiley; 1998;p. 859–861
  3. Snow PB, Smith DS, Catalona WJ. Artificial neural networks in the diagnosis and prognosis of prostate cancer (a pilot study). J Urol. 1994;152:1923–1926
  4. Tewari A, Narayan P. Novel staging tool for localized prostate cancer (a pilot study using genetic adaptive neural networks). J Urol. 1998;160:430–438
  5. Stamey TA, Barnhill SD, Zhang Z, et al.  Comparison of a neural network with high sensitivity and specificity to free/total PSA for diagnosing prostate cancer in men with a PSA <4.0 ng/ml. Monogr Urol. 1998;19:23–32

PII: S0090-4295(99)00342-8

Urology
Volume 54, Issue 6 , Pages 949-951 , December 1999

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