HEp-2 cells classification via fusion of morphological and textural features

IEEE 12th International Conference on BioInformatics and BioEngineering, BIBE 2012

Volumn , Issue , 2012, Pages 689-694

  Theodorakopoulos, Ilias ^a   Kastaniotis, Dimitris ^a   Economou, George ^a   Fotopoulos, Spiros ^a  

^a UNIVERSITY OF PATRAS   (Greece)

Author keywords

classification; fluorescence staining patterns; HEp 2 cells; morphological features; rotation invariant LBPs

Indexed keywords

AUTOANTIBODIES; AUTOIMMUNE DISEASE; AUTOMATIC CLASSIFICATION; AUTOMATIC CLASSIFICATION SYSTEMS; CAD SYSTEM; CLASSIFICATION ACCURACY; DATA SETS; DESCRIPTORS; EPITHELIAL CELLS; FLUORESCENCE IMAGE; FLUORESCENCE MICROSCOPES; FLUORESCENCE STAINING; HEP-2 CELLS; IDENTIFICATION PROCESS; INDIRECT IMMUNOFLUORESCENCE; INTEROBSERVER VARIABILITY; LOCAL BINARY PATTERNS; MORPHOLOGICAL FEATURES; MULTILEVEL THRESHOLDING; ROTATION INVARIANT; SVM CLASSIFIERS; TEXTURAL FEATURE; TEXTURAL INFORMATION; VISUAL INSPECTION;

BIOINFORMATICS; CELL CULTURE; CELLS; CLASSIFICATION (OF INFORMATION); DIAGNOSIS; FLUORESCENCE;

IMAGE PROCESSING;

EID: 84872844428     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/BIBE.2012.6399750     Document Type: Conference Paper

References (20)

1. P. Foggia, G. Percannella, P. Soda, and M. Vento, "Early experiences in mitotic cells recognition on HEp-2 slides," in Proceedings of the 2010 IEEE 23rd International Symposium on Computer-Based Medical Systems: IEEE Computer Society.
2. P. Garcia, M. Petrou, and S. Kamata, "Short communication: The use of Boolean model for texture analysis of grey images," Comput. Vis. Image Underst., vol. 74, pp. 227-235, 1999.
3. Z. Guo, L. Zhang, and D. Zhang, "Rotation invariant texture classification using LBP variance (LBPV) with global matching," Pattern Recognition, vol. 43, pp. 706-719.
4. R. Hiemann, N. Hilger, J. Michel, J. Nitschke, A. BÖHm, U. Anderer, M. Weigert, and U. Sack, "Automatic Analysis of Immunofluorescence Patterns of HEp-2 Cells," Annals of the New York Academy of Sciences, vol. 1109, pp. 358-371, 2007.
5. R. Hiemann, N. Hilger, U. Sack, and M. Weigert, "Objective quality evaluation of fluorescence images to optimize automatic image acquisition," Cytometry Part A, vol. 69A, pp. 182-184, 2006.
6. J. Hongliang, L. Qingshan, L. Hanqing, and T. Xiaofeng, "Face detection using improved LBP under Bayesian framework," presented at Image and Graphics, 2004. Proceedings. Third International Conference on, 2004.
7. T. Ojala, M. Pietikäinen and D. Harwood, "A comparative study of texture measures with classification based on featured distributions," Pattern Recognition, vol. 29, pp. 51-59, 1996.
8. T. Ojala, M. Pietikäinen, and T. Mäenpää, "Multiresolution gray-scale and rotation invariant texture classification with local binary patterns," Pattern Analysis and Machine Intelligence, IEEE Transactions on, vol. 24, pp. 971-987, 2002.
9. P. Perner, H. Perner, and B. Müller, "Mining knowledge for HEp-2 cell image classification," Artificial Intelligence in Medicine, vol. 26, pp. 161-173, 2002.
10. M. Pietikäinen, T. Ojala, and Z. Xu, "Rotation-invariant texture classification using feature distributions," Pattern Recognition, vol. 33, pp. 43-52, 2000.
11. A. Rigon, F. Buzzulini, P. Soda, L. Onofri, L. Arcarese, G. Iannello, and A. Afeltra, "Novel opportunities in automated classification of antinuclear antibodies on HEp-2 cells," Autoimmunity Reviews, vol. 10, pp. 647-652.
12. U. Sack, S. Knoechner, H. Warschkau, U. Pigla, F. Emmrich, and M. Kamprad, "Computer-assisted classification of HEp-2 immunofluorescence patterns in autoimmune diagnostics," Autoimmunity Reviews, vol. 2, pp. 298-304, 2003.
13. P. Soda, G. Iannello, and M. Vento, "A multiple expert system for classifying fluorescent intensity in antinuclear autoantibodies analysis," Pattern Anal. Appl., vol. 12, pp. 215-226, 2009.
14. P. Soda and G. Iannello, "Aggregation of Classifiers for Staining Pattern Recognition in Antinuclear Autoantibodies Analysis," Information Technology in Biomedicine, IEEE Transactions on, vol. 13, pp. 322-329, 2009.
15. P. Soda, A. Rigon, A. Afeltra, and G. lannello, "Automatic Acquisition of Immunofluorescence Images: Algorithms and Evaluation," presented at Computer-Based Medical Systems, 2006. CBMS 2006. 19th IEEE International Symposium on, 2006.
16. D. H. Solomon, A. J. Kavanaugh, P. H. Schur, and G. American College of Rheumatology Ad Hoc Committee on Immunologic Testing, "Evidence-based guidelines for the use of immunologic tests: Antinuclear antibody testing," Arthritis Care & Research, vol. 47, pp. 434-444, 2002.
17. H. Yi-Chu, H. Tsu-Yi, C. Chin-Yuan, C. Wei-Ta, L. Yu-Chih, and H. Yu-Len, "HEp-2 cell images classification based on textural and statistic features using self-organizing map," in Proceedings of the 4th Asian conference on Intelligent Information and Database Systems - Volume Part II. Kaohsiung, Taiwan: Springer-Verlag.
18. H. Yu-Len, C. Chia-Wei, H. Tsu-Yi, and J. Yu-Lang, "Outline Detection for the HEp-2 Cell in Indirect Immunofluorescence Images Using Watershed Segmentation," presented at Sensor Networks, Ubiquitous and Trustworthy Computing, 2008. SUTC '08. IEEE International Conference on, 2008.
19. H. Yu-Len, J. Yu-Lang, H. Tsu-Yi, and C. Chia-Wei, "Adaptive Automatic Segmentation of HEp-2 Cells in Indirect Immunofluorescence Images," in Proceedings of the 2008 IEEE International Conference on Sensor Networks, Ubiquitous, and Trustworthy Computing (sutc 2008): IEEE Computer Society, 2008.
20. http://mivia.unisa.it/hep2contest/index.shtml