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Volumn , Issue , 2013, Pages 951-955

HEp-2 cell classification using multi-dimensional local binary patterns and ensemble classification

Author keywords

Ensemble classification; HEp 2 cell classification; Indirect immunofluorescence imaging; MD LBP; Texture

Indexed keywords

ALGORITHMS; BENCHMARKING; CONTENT BASED RETRIEVAL; CYTOLOGY; DIAGNOSIS; FLUORESCENCE; PATTERN RECOGNITION; STATISTICAL TESTS; TEXTURES;

EID: 84899049600     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ACPR.2013.175     Document Type: Conference Paper
Times cited : (3)

References (28)
  • 2
    • 84899062599 scopus 로고    scopus 로고
    • Automatic classification of hep-2 cells using multi-dimensional local binary patterns
    • N. Doshi and G. Schaefer, "Automatic classification of HEp-2 cells using multi-dimensional local binary patterns, " in 2nd IAPR Asian Conference on Pattern Recognition, 2013.
    • (2013) 2nd IAPR Asian Conference on Pattern Recognition
    • Doshi, N.1    Schaefer, G.2
  • 3
    • 0036647193 scopus 로고    scopus 로고
    • Multiresolution gray-scale and rotation invariant texture classification with local binary patterns
    • T. Ojala, M. Pietikainen, and T. Maenpaa, "Multiresolution gray-scale and rotation invariant texture classification with local binary patterns, " IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 24, pp. 971-987, 2002.
    • (2002) IEEE Trans. Pattern Analysis and Machine Intelligence , vol.24 , pp. 971-987
    • Ojala, T.1    Pietikainen, M.2    Maenpaa, T.3
  • 4
    • 84874559331 scopus 로고    scopus 로고
    • Multi-dimensional local binary pattern descriptors for improved texture analysis
    • G. Schaefer and N. P. Doshi, "Multi-dimensional local binary pattern descriptors for improved texture analysis, " in 21st Int. Conference on Pattern Recognition, 2012, pp. 2500-2503.
    • (2012) 21st Int. Conference on Pattern Recognition , pp. 2500-2503
    • Schaefer, G.1    Doshi, N.P.2
  • 6
    • 0018466704 scopus 로고
    • Statistical and structural approaches to texture
    • May
    • R. M. Haralick, "Statistical and structural approaches to texture, " Proceedings of the IEEE, vol. 67, no. 5, pp. 786-804, May 1979.
    • (1979) Proceedings of the IEEE , vol.67 , Issue.5 , pp. 786-804
    • Haralick, R.M.1
  • 9
    • 84874581854 scopus 로고    scopus 로고
    • Multiclass boosting svm using different texture features in hep-2 cell staining pattern classification
    • K. Li, J. Yin, Z. Lu, X. Kong, R. Zhang, and W. Liu, "Multiclass boosting SVM using different texture features in HEp-2 cell staining pattern classification, " in 21st Int. Conference on Pattern Recognition, 2012, pp. 170-173.
    • (2012) 21st Int. Conference on Pattern Recognition , pp. 170-173
    • Li, K.1    Yin, J.2    Lu, Z.3    Kong, X.4    Zhang, R.5    Liu, W.6
  • 10
  • 11
    • 39549091332 scopus 로고    scopus 로고
    • Multiclass posterior probability support vector machines
    • M. Gonen, A. Tanugur, and E. Alpaydm, "Multiclass posterior probability support vector machines, " IEEE Trans. Neural Networks, vol. 19, no. 1, pp. 130-139, 2008.
    • (2008) IEEE Trans. Neural Networks , vol.19 , Issue.1 , pp. 130-139
    • Gonen, M.1    Tanugur, A.2    Alpaydm, E.3
  • 14
    • 0035478854 scopus 로고    scopus 로고
    • Random forests
    • L. Breiman, "Random forests, " Machine Learning, vol. 45, no. 1, pp. 5-32, 2001.
    • (2001) Machine Learning , vol.45 , Issue.1 , pp. 5-32
    • Breiman, L.1
  • 18
    • 84874555021 scopus 로고    scopus 로고
    • Feature analysis for automatic classification of hep-2 florescence patterns: Computer-aided diagnosis of auto-immune diseases
    • S. Ghosh and V. Chaudhary, "Feature analysis for automatic classification of HEp-2 florescence patterns: Computer-aided diagnosis of auto-immune diseases, " in 21st Int. Conference on Pattern Recognition, 2012, pp. 174-177.
    • (2012) 21st Int. Conference on Pattern Recognition , pp. 174-177
    • Ghosh, S.1    Chaudhary, V.2
  • 23
    • 25144492516 scopus 로고    scopus 로고
    • Efficient feature selection via analysis of relevance and redundancy
    • L. Yu and H. Liu, "Efficient feature selection via analysis of relevance and redundancy, " Journal of Machine Learning Research, pp. 1205-1224, 2004.
    • (2004) Journal of Machine Learning Research , pp. 1205-1224
    • Yu, L.1    Liu, H.2
  • 24
    • 1942451938 scopus 로고    scopus 로고
    • Feature selection for high-dimensional data: A fast correlation-based filter solution
    • "Feature selection for high-dimensional data: A fast correlation-based filter solution, " in 20th Int. Conference on Machine Learning, 2003, pp. 856-863.
    • (2003) 20th Int. Conference on Machine Learning , pp. 856-863
    • Yu, L.1    Liu, H.2
  • 26
    • 0003120218 scopus 로고    scopus 로고
    • Fast training of support vector machines using sequential minimal optimization
    • B. Schoelkopf, C. Burges, and A. Smola, Eds. MIT Press
    • J. Platt, "Fast training of support vector machines using sequential minimal optimization, " in Advances in Kernel Methods-Support Vector Learning, B. Schoelkopf, C. Burges, and A. Smola, Eds. MIT Press, 1998.
    • (1998) Advances in Kernel Methods-Support Vector Learning
    • Platt, J.1
  • 27
    • 79952139706 scopus 로고    scopus 로고
    • Designing combining classifier with trained fuser-analytical and experimental evaluation
    • M. Wozniak and M. Zmyslony, "Designing combining classifier with trained fuser-analytical and experimental evaluation, " Neural Network World, vol. 20, no. 7, pp. 925-934, 2010.
    • (2010) Neural Network World , vol.20 , Issue.7 , pp. 925-934
    • Wozniak, M.1    Zmyslony, M.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.