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Volumn , Issue , 2012, Pages

A bag of visual words approach for centromere and cytoplasmic staining pattern classification on HEp-2 images

Author keywords

[No Author keywords available]

Indexed keywords

AUTOANTIBODIES; AUTOIMMUNE DISEASE; BAG-OF-VISUAL-WORDS; CELL EDGES; CELL SEGMENTATION; CLASS DISTRIBUTIONS; COMPLEX IMAGE; DATA SETS; F-MEASURE; FLUORESCENCE INTENSITIES; HEP-2 CELLS; INDIRECT IMMUNOFLUORESCENCE; LOCAL APPROACHES; MEDICAL DOCTORS; SEGMENTATION PROCEDURE; SIFT DESCRIPTORS;

EID: 84867286630     PISSN: 10637125     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CBMS.2012.6266360     Document Type: Conference Paper
Times cited : (16)

References (28)
  • 2
    • 84867311768 scopus 로고    scopus 로고
    • Bio-Rad Laboratories Inc. PhD System. http://www.bio-rad.com, 2004.
    • (2004) PhD System
  • 3
    • 17144447571 scopus 로고    scopus 로고
    • Variability between methods to determine ana, anti-dsdna and anti-ena autoantibodies: A collaborative study with the biomedical industry
    • N. Bizzaro, R. Tozzoli, et al. Variability between methods to determine ana, anti-dsdna and anti-ena autoantibodies: a collaborative study with the biomedical industry. J. Immunol. Methods, 219(1-2):99-107, 1998.
    • (1998) J. Immunol. Methods , vol.219 , Issue.1-2 , pp. 99-107
    • Bizzaro, N.1    Tozzoli, R.2
  • 4
    • 70350235061 scopus 로고    scopus 로고
    • Histopathology image classification using bag of features and kernel functions
    • J. Caicedo, A. Cruz, and F. Gonzalez. Histopathology im-age classification using bag of features and kernel functions. Artif. Intell. Med.., 5651:126-135, 2009.
    • (2009) Artif. Intell. Med.. , vol.5651 , pp. 126-135
    • Caicedo, J.1    Cruz, A.2    Gonzalez, F.3
  • 5
    • 34748889966 scopus 로고    scopus 로고
    • Quality assurance for the indirect immunofluorescence test for autoantibodies to nuclear antigen (IF-ANA): Approved guideline
    • Center for Disease Control
    • Center for Disease Control. Quality assurance for the indirect immunofluorescence test for autoantibodies to nuclear antigen (IF-ANA): approved guideline. NCCLS I/LA2-A, 16(11), 1996.
    • (1996) NCCLS I/LA2-A , vol.16 , Issue.11
  • 7
    • 33745365085 scopus 로고    scopus 로고
    • Das s.r.l. Palombara Sabina (RI)
    • Das s.r.l. Service Manual AP16 IF Plus. Palombara Sabina (RI), 2004.
    • (2004) Service Manual AP16 if Plus
  • 8
    • 77956478503 scopus 로고    scopus 로고
    • Automated evaluation of autoantibodies on human epithelial-2 cells as an approach to standardize cell-based immunofluorescence tests
    • K. Egerer, D. Roggenbuck, et al. Automated evaluation of autoantibodies on human epithelial-2 cells as an approach to standardize cell-based immunofluorescence tests. Arthritis Res. Ther., 12(2):R40, 2010.
    • (2010) Arthritis Res. Ther. , vol.12 , Issue.2
    • Egerer, K.1    Roggenbuck, D.2
  • 10
    • 69649107067 scopus 로고    scopus 로고
    • Challenges of automated screening and differentiation of non-organ specific autoantibodies on hep-2 cells
    • R. Hiemann, T. Buettner, et al. Challenges of automated screening and differentiation of non-organ specific autoantibodies on hep-2 cells. Autoimmunity Reviews, 9(1):17-22, 2009.
    • (2009) Autoimmunity Reviews , vol.9 , Issue.1 , pp. 17-22
    • Hiemann, R.1    Buettner, T.2
  • 11
    • 33645957073 scopus 로고    scopus 로고
    • Objective quality evaluation of fluorescence images to optimize automatic image acquisition
    • R. Hiemann, N. Hilger, et al. Objective quality evaluation of fluorescence images to optimize automatic image acquisition. Cytometry Part A, 69A(3):182-184, 2006.
    • (2006) Cytometry Part A , vol.69 A , Issue.3 , pp. 182-184
    • Hiemann, R.1    Hilger, N.2
  • 12
    • 33745810966 scopus 로고    scopus 로고
    • Visual cue cluster construction via information bottleneck principle and kernel density estimation
    • W. Hsu and S.-F. Chang. Visual cue cluster construction via information bottleneck principle and kernel density estimation. In Image and Video Retrieval, volume 3568, page 591, 2005.
    • (2005) Image and Video Retrieval , vol.3568 , pp. 591
    • Hsu, W.1    Chang, S.-F.2
  • 13
    • 50949097851 scopus 로고    scopus 로고
    • Outline detection for the hep-2 cell in indirect immunofluorescence images using watershed segmentation
    • Y.-L. Huang, C.-W. Chung, et al. Outline detection for the hep-2 cell in indirect immunofluorescence images using watershed segmentation. In IEEE Int. Conf. on SUTC, pages 423-427, 2008.
    • (2008) IEEE Int. Conf. on SUTC , pp. 423-427
    • Huang, Y.-L.1    Chung, C.-W.2
  • 14
    • 50949106869 scopus 로고    scopus 로고
    • Adaptive automatic segmentation of hep-2 cells in indirect immunofluorescence images
    • Y.-L. Huang, Y.-L. Jao, et al. Adaptive automatic segmentation of hep-2 cells in indirect immunofluorescence images. In IEEE Int. Conf. on SUTC), pages 418-422, 2008.
    • (2008) IEEE Int. Conf. on SUTC , pp. 418-422
    • Huang, Y.-L.1    Jao, Y.-L.2
  • 15
    • 80053013850 scopus 로고    scopus 로고
    • An efficient autofocus algorithm for indirect immunofluorescence applications
    • G. Iannello, L. Onofri, et al. An efficient autofocus algorithm for indirect immunofluorescence applications. In 24th IEEE Symp. on Computer-Based Medical Systems, pages 1-6, 2011.
    • (2011) 24th IEEE Symp. on Computer-Based Medical Systems , pp. 1-6
    • Iannello, G.1    Onofri, L.2
  • 16
    • 64049108468 scopus 로고    scopus 로고
    • Exploratory undersampling for class-imbalance learning
    • X. Y. Liu, J. Wu, and Z. H. Zhou. Exploratory undersampling for class-imbalance learning. IIEEE Trans. Syst. Man Cybern., 39(2):539-550, 2009.
    • (2009) IIEEE Trans. Syst. Man Cybern. , vol.39 , Issue.2 , pp. 539-550
    • Liu, X.Y.1    Wu, J.2    Zhou, Z.H.3
  • 17
    • 3042535216 scopus 로고    scopus 로고
    • An iterative image registration technique with an application to stereo vision
    • D. G. Lowe. An iterative image registration technique with an application to stereo vision. Int. J. Comput. Vision, 60(2):91-110, 2004.
    • (2004) Int. J. Comput. Vision , vol.60 , Issue.2 , pp. 91-110
    • Lowe, D.G.1
  • 18
    • 0036754439 scopus 로고    scopus 로고
    • Mining knowledge for HEp-2 cell image classification
    • P. Perner, H. Perner, and B. Muller. Mining knowledge for HEp-2 cell image classification. Artif. Intell. Med., 26(1-2):161-173, 2002.
    • (2002) Artif. Intell. Med. , vol.26 , Issue.1-2 , pp. 161-173
    • Perner, P.1    Perner, H.2    Muller, B.3
  • 19
    • 36048960791 scopus 로고    scopus 로고
    • Indirect immunofluorescence in autoimmune diseases: Assessment of digital images for diagnostic purpose
    • A. Rigon, P. Soda, et al. Indirect immunofluorescence in autoimmune diseases: Assessment of digital images for diagnostic purpose. Cytometry Part B: Clin. Cytometry, 72B(6):472-477.
    • Cytometry Part B: Clin. Cytometry , vol.72 B , Issue.6 , pp. 472-477
    • Rigon, A.1    Soda, P.2
  • 20
    • 0043264310 scopus 로고    scopus 로고
    • Computer-assisted classification of hep-2 immunofluorescence patterns in autoimmune diagnostics
    • U. Sack, S. Knoechner, et al. Computer-assisted classification of hep-2 immunofluorescence patterns in autoimmune diagnostics. Autoimmunity Reviews, 2(5):298-304, 2003.
    • (2003) Autoimmunity Reviews , vol.2 , Issue.5 , pp. 298-304
    • Sack, U.1    Knoechner, S.2
  • 21
    • 61849154473 scopus 로고    scopus 로고
    • Malignant melanoma detection by bag-of-features classification
    • N. Situ, X. Yuan, et al. Malignant melanoma detection by bag-of-features classification. In EMBS 30th IEEE Annu. Int. Conf., pages 3110 -3113, 2008.
    • (2008) EMBS 30th IEEE Annu. Int. Conf. , pp. 3110-3113
    • Situ, N.1    Yuan, X.2
  • 22
    • 84899004693 scopus 로고    scopus 로고
    • Agglomerative information bottleneck
    • N. Slonim and N. Tishby. Agglomerative information bottleneck. In NIPS-12, pages 617-623, 1999.
    • (1999) NIPS-12 , pp. 617-623
    • Slonim, N.1    Tishby, N.2
  • 23
    • 79953059352 scopus 로고    scopus 로고
    • A multi-objective optimisation approach for class imbalance learning
    • P. Soda. A multi-objective optimisation approach for class imbalance learning. Pattern Recognition, 44(8):1801-1810, 2011.
    • (2011) Pattern Recognition , vol.44 , Issue.8 , pp. 1801-1810
    • Soda, P.1
  • 24
    • 67349187542 scopus 로고    scopus 로고
    • Aggregation of classifiers for staining pattern recognition in antinuclear autoantibodies analysis
    • P. Soda and G. Iannello. Aggregation of classifiers for staining pattern recognition in antinuclear autoantibodies analysis. IEEE Trans. Inf. Technol. Biomed., 13(3):322-329, 2009.
    • (2009) IEEE Trans. Inf. Technol. Biomed. , vol.13 , Issue.3 , pp. 322-329
    • Soda, P.1    Iannello, G.2
  • 25
    • 70349887648 scopus 로고    scopus 로고
    • A multiple experts system for classifying fluorescence intensity in antinuclear autoantibodies analysis
    • P. Soda, G. Iannello, and M. Vento. A multiple experts system for classifying fluorescence intensity in antinuclear autoantibodies analysis. Pattern Anal. Appl., 12(3):215-226, 2009.
    • (2009) Pattern Anal. Appl. , vol.12 , Issue.3 , pp. 215-226
    • Soda, P.1    Iannello, G.2    Vento, M.3
  • 26
    • 33845576247 scopus 로고    scopus 로고
    • Automatic acquisition of immunofluorescence images: Algorithms and evaluation
    • P. Soda, A. Rigon, et al. Automatic acquisition of immunofluorescence images: Algorithms and evaluation. In 19th IEEE Symp. on Computer-Based Medical Systems, pages 386-390, 2006.
    • (2006) 19th IEEE Symp. on Computer-Based Medical Systems , pp. 386-390
    • Soda, P.1    Rigon, A.2
  • 27
    • 0029057619 scopus 로고
    • Photobleaching kinetics of fluorescein in quantitative fluorescence microscopy
    • L. Song, E. J. Hennink, et al. Photobleaching kinetics of fluorescein in quantitative fluorescence microscopy. Biophys. J., 68(6), 1995.
    • (1995) Biophys. J. , vol.68 , Issue.6
    • Song, L.1    Hennink, E.J.2
  • 28
    • 33745913325 scopus 로고    scopus 로고
    • Object categorization by learned universal visual dictionary
    • J. Winn, A. Criminisi, and T. Minka. Object categorization by learned universal visual dictionary. In Int. Conf. Comput. Vision, pages 1800-1807, 2005.
    • (2005) Int. Conf. Comput. Vision , pp. 1800-1807
    • Winn, J.1    Criminisi, A.2    Minka, T.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.