메뉴 건너뛰기




Volumn 39, Issue 2, 2012, Pages 1968-1971

A very high performing system to discriminate tissues in mammograms as benign and malignant

Author keywords

Local binary patterns; Local Ternary Patterns; Random subspace; Support vector machines; Texture descriptors

Indexed keywords

LOCAL BINARY PATTERNS; LOCAL TERNARY PATTERNS; RANDOM SUBSPACES; SUPPORT VECTOR; TEXTURE DESCRIPTORS;

EID: 80054923009     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2011.08.050     Document Type: Conference Paper
Times cited : (32)

References (16)
  • 1
    • 77953177707 scopus 로고    scopus 로고
    • (Multiscale) local phase quantization histogram discriminant analysis with score normalisation for robust face recognition
    • Kyoto, Japan 2009
    • Chan, C. H.; Kittler, J.; Poh, N.; Ahonen, T.; & Pietikäinen M.; (2009). "(Multiscale) local phase quantization histogram discriminant analysis with score normalisation for robust face recognition", in IEEE Workshop on Video-Oriented Object and Event Classification, Kyoto, Japan, 2009, (pp. 633-640).
    • (2009) IEEE Workshop on Video-Oriented Object and Event Classification , pp. 633-640
    • Chan, C.H.1    Kittler, J.2    Poh, N.3    Ahonen, T.4    Pietikäinen, M.5
  • 6
  • 7
    • 71849094325 scopus 로고    scopus 로고
    • Classification of breast tissues using Moran's index and Geary's coefficient as texture signatures and SVM
    • G.B. Junior, A. Cardoso de Paiva, A.C. Silva, and A.C. Muniz de Oliveira Classification of breast tissues using Moran's index and Geary's coefficient as texture signatures and SVM Computers in Biology and Medicine 39 12 2009 1063 1072
    • (2009) Computers in Biology and Medicine , vol.39 , Issue.12 , pp. 1063-1072
    • Junior, G.B.1    Cardoso De Paiva, A.2    Silva, A.C.3    Muniz De Oliveira, A.C.4
  • 9
    • 2442692889 scopus 로고    scopus 로고
    • Classification of mammographic masses using generalized dynamic fuzzy neural networks
    • DOI 10.1118/1.1708643
    • W.K. Lim, and M.J. Er Classification of mammographic masses using generalized dynamic fuzzy neural networks Medical Physics 5 2009 1288 1295 (Pubitemid 38656804)
    • (2004) Medical Physics , vol.31 , Issue.5 , pp. 1288-1295
    • Lim, W.K.1    Er, M.J.2
  • 13
    • 0036647193 scopus 로고    scopus 로고
    • Multiresolution gray-scale and rotation invariant texture classification with local binary patterns
    • DOI 10.1109/TPAMI.2002.1017623
    • T. Ojala, M. Pietikainen, and T. Maeenpaa Multiresolution gray-scale and rotation invariant texture classification with local binary patterns IEEE Transactions on Pattern Analysis and Machine Intelligence 24 7 2002 971 987 (Pubitemid 34835471)
    • (2002) IEEE Transactions on Pattern Analysis and Machine Intelligence , vol.24 , Issue.7 , pp. 971-987
    • Ojala, T.1    Pietikainen, M.2    Maenpaa, T.3
  • 14
    • 77957960268 scopus 로고    scopus 로고
    • Blur insensitive texture classification using local phase quantization
    • Ojansivu, V.; & Heikkila, J. (2008). Blur insensitive texture classification using local phase quantization. in ICISP.
    • (2008) ICISP
    • Ojansivu, V.1    Heikkila, J.2
  • 15
    • 38149090988 scopus 로고    scopus 로고
    • Enhanced local texture feature sets for face recognition under difficult lighting conditions
    • Tan, X.; & Triggs, B. (2007). Enhanced local texture feature sets for face recognition under difficult lighting conditions, in Analysis and Modelling of Faces and Gestures, LNCS 4778, (pp. 168-182).
    • (2007) Analysis and Modelling of Faces and Gestures, LNCS , vol.4778 , pp. 168-182
    • Tan, X.1    Triggs, B.2
  • 16
    • 67349156354 scopus 로고    scopus 로고
    • A novel soft cluster neural network for the classification of suspicious areas in digital mammograms
    • B. Verma, P. McLeod, and A. Klevansky A novel soft cluster neural network for the classification of suspicious areas in digital mammograms Pattern Recognition 49 9 2009 1845 1852
    • (2009) Pattern Recognition , vol.49 , Issue.9 , pp. 1845-1852
    • Verma, B.1    McLeod, P.2    Klevansky, A.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.