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Volumn 4241 LNCS, Issue , 2006, Pages 25-36

Comparing ensembles of learners: Detecting prostate cancer from high resolution MRI

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFIERS; COMPUTER AIDED DIAGNOSIS; FEATURE EXTRACTION; MAGNETIC RESONANCE IMAGING; MEDICAL IMAGING; PATTERN RECOGNITION;

EID: 33750734660     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11889762_3     Document Type: Conference Paper
Times cited : (19)

References (12)
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    • Bagging predictors
    • L. Breiman, "Bagging Predictors", Machine Learning, vol. 24[2], pp. 123-40, 1996.
    • (1996) Machine Learning , vol.24 , Issue.2 , pp. 123-140
    • Breiman, L.1
  • 6
    • 1942438249 scopus 로고    scopus 로고
    • Simultaneous Truth and Performance Level Estimation (STAPLE): An algorithm for the validation of image segmentation
    • Simon K. Warfield, Kelly H. Zou, William M. Wells "Simultaneous Truth and Performance Level Estimation (STAPLE) : An Algorithm for the Validation of Image Segmentation", IEEE Trans. on Med. Imag., 2004, vol. 23[7], pp. 903-21.
    • (2004) IEEE Trans. on Med. Imag. , vol.23 , Issue.7 , pp. 903-921
    • Warfield, S.K.1    Zou, K.H.2    Wells, W.M.3
  • 8
    • 0032645080 scopus 로고    scopus 로고
    • An empirical comparison of voting classification algorithms: Bagging, Boosting, and Variants
    • E. Bauer, R. Kohavi, "An empirical comparison of voting classification algorithms: Bagging, Boosting, and Variants", Machine Learning, vol. 36, pp. 105-42, 1999.
    • (1999) Machine Learning , vol.36 , pp. 105-142
    • Bauer, E.1    Kohavi, R.2
  • 10
    • 3042525106 scopus 로고    scopus 로고
    • Learning to detect natural image boundaries using local brightness, color, and texture cues
    • D. Martin, C. Fowlkes, J. Malik "Learning to detect natural image boundaries using local brightness, color, and texture cues", IEEE Trans. on Pattern Anal. & Machine Intel., 2004, vol. 26[5], pp. 530-49.
    • (2004) IEEE Trans. on Pattern Anal. & Machine Intel. , vol.26 , Issue.5 , pp. 530-549
    • Martin, D.1    Fowlkes, C.2    Malik, J.3
  • 11
    • 19044383038 scopus 로고    scopus 로고
    • A study on several machine-learning methods for classification of malignant and benign clustered micro-calcifications
    • L. Wei, Y. Yuang, R. M. Nishikawa, Y. Jiang, "A study on several machine-learning methods for classification of malignant and benign clustered micro-calcifications", IEEE Trans. on Medical Imag., 2005, vol. 24[3], pp. 371-80.
    • (2005) IEEE Trans. on Medical Imag. , vol.24 , Issue.3 , pp. 371-380
    • Wei, L.1    Yuang, Y.2    Nishikawa, R.M.3    Jiang, Y.4
  • 12
    • 33744958288 scopus 로고    scopus 로고
    • Nearest neighbor classification from multiple feature subsets
    • S. Bay "Nearest neighbor classification from multiple feature subsets", Intelligent Data Analysis, vol. 3(3), pp. 191-209, 1999.
    • (1999) Intelligent Data Analysis , vol.3 , Issue.3 , pp. 191-209
    • Bay, S.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.