메뉴 건너뛰기




Volumn 9699, Issue , 2016, Pages 51-56

A comparison between a deep convolutional neural network and radiologists for classifying regions of interest in mammography

Author keywords

[No Author keywords available]

Indexed keywords

CONVOLUTION; NEURAL NETWORKS;

EID: 84977600905     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-319-41546-8_7     Document Type: Conference Paper
Times cited : (42)

References (12)
  • 7
    • 0035478854 scopus 로고    scopus 로고
    • Random forests
    • Breiman, L.: Random forests. Mach. Learn. 45(1), 5-32 (2001)
    • (2001) Mach. Learn , vol.45 , Issue.1 , pp. 5-32
    • Breiman, L.1
  • 12
    • 42049116934 scopus 로고    scopus 로고
    • Recent developments in the Dorfman-Berbaum-Metz procedure for multireader ROC study analysis
    • Hillis, S.L., Berbaum, K.S., Metz, C.E.: Recent developments in the Dorfman-Berbaum-Metz procedure for multireader ROC study analysis. Acad. Radiol. 15, 647-661 (2008)
    • (2008) Acad. Radiol , vol.15 , pp. 647-661
    • Hillis, S.L.1    Berbaum, K.S.2    Metz, C.E.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.