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Volumn 27, Issue 11, 2000, Pages 2600-2608

Automated classification of clustered microcalcifications into malignant and benign types

Author keywords

Benign; Classification; Detection; Feature selection; Malignant; Microcalcification cluster; Segmentation

Indexed keywords

CALCIFICATION (BIOCHEMISTRY); CLASSIFICATION (OF INFORMATION); ERROR DETECTION; IMAGE SEGMENTATION; LIGHT SOURCES; MAMMOGRAPHY; MARKOV PROCESSES; MEDICAL COMPUTING; NEAREST NEIGHBOR SEARCH; X RAY SCREENS;

EID: 0033694673     PISSN: 00942405     EISSN: None     Source Type: Journal    
DOI: 10.1118/1.1318221     Document Type: Article
Times cited : (99)

References (23)
  • 13
    • 0002085179 scopus 로고    scopus 로고
    • Improved correction for signal dependent noise applied to automatic detection of microcalcifications
    • Digital Mammography, edited by N. Karssemeijer, M. A. O. Thijssen, J. H. C. L. Hendriks, and L. J. T. O. van Erning (Kluwer, Dordrecht)
    • (1998) , pp. 169-176
    • Veldkamp, W.1    Karssemeijer, N.2
  • 23
    • 0007007622 scopus 로고
    • New methods for estimating a binormal roc curve from continuously-distributed test results
    • Presented at the 1990 Joint Statistical Meetings of the American Statistical Society and the Biometric Society, Anaheim, CA, August 1990
    • (1990)
    • Metz, C.E.1    Shen, J.H.2    Herman, B.A.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.