메뉴 건너뛰기




Volumn 11, Issue 1, 2004, Pages 103-105

On the Repeated Use of Databases for Testing Incremental Improvement of Computer-Aided Detection Schemes

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHM; COMPUTER ASSISTED DIAGNOSIS; DATA BASE; IMAGING SYSTEM; LEARNING; MACHINE; MEDICAL EDUCATION; MEDICAL TECHNOLOGY; PERFORMANCE; PRIORITY JOURNAL; REVIEW; STATISTICAL ANALYSIS; STATISTICAL LEARNING MACHINE; TRAINING; VALIDATION PROCESS;

EID: 0347993884     PISSN: 10766332     EISSN: None     Source Type: Journal    
DOI: 10.1016/S1076-6332(03)00511-7     Document Type: Article
Times cited : (12)

References (7)
  • 3
    • 0033461791 scopus 로고    scopus 로고
    • Classifier design for computer-aided diagnosis: Effects of finite sample size on the mean performance of classical and neural network classifiers
    • Chan HP, Sahiner B, Wagner RF, Petrick N. "Classifier design for computer-aided diagnosis: effects of finite sample size on the mean performance of classical and neural network classifiers." Med Phys 1999; 26: 2654-2668.
    • (1999) Med Phys , vol.26 , pp. 2654-2668
    • Chan, H.P.1    Sahiner, B.2    Wagner, R.F.3    Petrick, N.4
  • 4
    • 0033863591 scopus 로고    scopus 로고
    • Feature selection and classifier performance in computer-aided diagnosis: The effect of finite sample size
    • Sahiner B, Chan HP, Petrick N, Wagner RF, Hadjiiski L. Feature selection and classifier performance in computer-aided diagnosis: the effect of finite sample size. Med Phys 2000; 27:1509-1522.
    • (2000) Med Phys , vol.27 , pp. 1509-1522
    • Sahiner, B.1    Chan, H.P.2    Petrick, N.3    Wagner, R.F.4    Hadjiiski, L.5
  • 5
    • 0347252304 scopus 로고    scopus 로고
    • A general model for finite-sample effects in training and testing of competing classifiers
    • Beiden SV, Maloof MA, Wagner RF. A general model for finite-sample effects in training and testing of competing classifiers. IEEE Trans Patt Anal Mach Intell (PAMI) 2003 25:1561-1569.
    • (2003) IEEE Trans Patt Anal Mach Intell (PAMI) , vol.25 , pp. 1561-1569
    • Beiden, S.V.1    Maloof, M.A.2    Wagner, R.F.3
  • 6
    • 0031536511 scopus 로고    scopus 로고
    • Improvements on cross-validation: The .632+ bootstrap method
    • Efron B, Tibshirani R. Improvements on cross-validation: the .632+ bootstrap method. J Am Stat Assoc 1997; 92:548-560.
    • (1997) J Am Stat Assoc , vol.92 , pp. 548-560
    • Efron, B.1    Tibshirani, R.2
  • 7
    • 0034917884 scopus 로고    scopus 로고
    • National Cancer Institute initiative: Lung image database resource for imaging research
    • Clarke LP, Croft BY, Staab E, Baker H, Sullivan DC. National Cancer Institute initiative: lung image database resource for imaging research. Acad Radiol 2001; 8:447-450.
    • (2001) Acad Radiol , vol.8 , pp. 447-450
    • Clarke, L.P.1    Croft, B.Y.2    Staab, E.3    Baker, H.4    Sullivan, D.C.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.