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Volumn 5, Issue 4, 2001, Pages 175-180

Computer-assisted diagnostics: Application to prostate cancer

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL NEURAL NETWORK; CANCER CLASSIFICATION; CANCER DIAGNOSIS; CANCER STAGING; COMPUTER ASSISTED DIAGNOSIS; DIAGNOSTIC PROCEDURE; HUMAN; INTERMETHOD COMPARISON; MALE; PATTERN RECOGNITION; PREDICTION; PRIORITY JOURNAL; PROBLEM SOLVING; PROSTATE CANCER; REGRESSION ANALYSIS; REVIEW; STATISTICAL ANALYSIS; TREATMENT OUTCOME;

EID: 0035677022     PISSN: 10915362     EISSN: None     Source Type: Journal    
DOI: 10.1089/10915360152745867     Document Type: Review
Times cited : (7)

References (18)
  • 8
    • 0032788463 scopus 로고    scopus 로고
    • Estimation of prostate cancer probability by logistic regression: Free and total prostate specific antigen, digital rectal examination, and heredity are significant variables
    • (1999) Clin Chem , vol.45 , Issue.7 , pp. 987-994
    • Virtanen, A.1    Gomari, M.2    Kranse, R.3    Stenman, U.H.4
  • 10
  • 13
    • 0032324086 scopus 로고    scopus 로고
    • Novel staging tool for localized prostate cancer: A pilot study using genetic adaptive neural networks
    • (1998) J Urol , vol.160 , pp. 430-436
    • Tewari, A.1    Narayan, P.2
  • 17
    • 0033663884 scopus 로고    scopus 로고
    • A neural network progression for men with Gleason score 3 + 4 versus 4 + 3 tumors after radical prostatectomy
    • (2000) Urology , vol.56 , pp. 994-999
    • Han, M.1    Snow, P.B.2    Epstein, J.I.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.