Computationally-efficient classification of HEp-2 cell patterns in IIF images

Proceedings of the ACM Symposium on Applied Computing

Volumn 13-17-April-2015, Issue , 2015, Pages 825-830

  Gonzalez, Luis Fernando Planella ^a   Ruiz, Duncan Dubugras Alcoba ^a   Pinho, Márcio Sarroglia ^a  

^a PONTIFICAL CATHOLIC UNIVERSITY OF RIO GRANDE DO SUL   (Brazil)

Author keywords

Classification; Feature extraction; HEp 2 cells; Image processing; Immunouorescence pattern

Indexed keywords

EXTRACTION; FEATURE EXTRACTION; IMAGE PROCESSING; PATTERN RECOGNITION; PIXELS;

CLASSIFICATION ACCURACY; COMPUTATIONAL RESOURCES; COMPUTATIONALLY EFFICIENT; FEATURE EXTRACTION METHODS; HEP-2 CELLS; IMMUNOUORESCENCE PATTERN; PIXEL STATISTICS; RESEARCH QUESTIONS;

CLASSIFICATION (OF INFORMATION);

EID: 84955458769     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2695664.2695730     Document Type: Conference Paper

References (27)

1. P. Agrawal, M. Vatsa, and R. Singh. Hep-2 cell image classification: A comparative analysis. In Machine Learning in Medical Imaging, pages 195-202. Springer, 2013.
2. N. Ahmed, T. Natarajan, and K. R. Rao. Discrete cosine transform. Computers, IEEE Transactions on, 100(1):90-93, 1974.
3. W. ali, P. Piro, D. Giampaglia, T. Pourcher, and M. Barlaud. Biological cells classification using bio-inspired descriptor in a boosting k-nn framework. In Computer-Based Medical Systems (CBMS), 2012 25th International Symposium on, pages 1-6, June 2012.
4. H. Bay, T. Tuytelaars, and L. Van Gool. Surf: Speeded up robust features. In Computer Vision-ECCV 2006, pages 404-417. Springer, 2006.
5. E. Cordelli and P. Soda. Color to grayscale staining pattern representation in iif. In Computer-Based Medical Systems (CBMS), 2011 24th International Symposium on, pages 1-6. IEEE, 2011.
6. N. Dalal and B. Triggs. Histograms of oriented gradients for human detection. In Computer Vision and Pattern Recognition, 2005. CVPR 2005. IEEE Computer Society Conference on, volume 1, pages 886-893. IEEE, 2005.
7. S. Di Cataldo, A. Bottino, E. Ficarra, and E. Macii. Applying textural features to the classification of hep-2 cell patterns in iif images. In Pattern Recognition (ICPR), 2012 21st International Conference on, pages 3349-3352. IEEE, 2012.
8. P. Elbischger, S. Geerts, K. Sander, G. Ziervogel-Lukas, and P. Sinah. Algorithmic framework for hep-2 uorescence pattern classification to aid auto-immune diseases diagnosis. In Biomedical Imaging: From Nano to Macro, 2009. ISBI'09. IEEE International Symposium on, pages 562-565. IEEE, 2009.
9. I. Ersoy, F. Bunyak, J. Peng, and K. Palaniappan. Hep-2 cell classification in iif images using shareboost. In Pattern Recognition (ICPR), 2012 21st International Conference on, pages 3362-3365. IEEE, 2012.
10. S. Ghosh and V. Chaudhary. Feature analysis for automatic classification of hep-2 orescence patterns: Computer-aided diagnosis of auto-immune diseases. In Pattern Recognition (ICPR), 2012 21st International Conference on, pages 174-177. IEEE, 2012.
11. L. F. P. Gonzalez, M. A. G. Pivel, and D. D. A. Ruiz. Improving bathymetric images exploration: A data mining approach. Computers & Geosciences, 54:142-147, 2013.
12. R. M. Haralick, K. Shanmugam, and I. H. Dinstein. Textural features for image classification. Systems, Man and Cybernetics, IEEE Transactions on, (6):610-621, 1973.
13. T.-Y. Hsieh, Y.-C. Huang, C.-W. Chung, and Y.-L. Huang. Hep-2 cell classification in indirect immunouorescence images. In Information, Communications and Signal Processing, 2009. ICICS 2009. 7th International Conference on, pages 1-4. IEEE, 2009.
14. E. Keogh and A. Mueen. Curse of dimensionality. In C. Sammut and G. Webb, editors, Encyclopedia of Machine Learning, pages 257-258. Springer US, 2010.
15. T. S. Lee. Image representation using 2d gabor wavelets. Pattern Analysis and Machine Intelligence, IEEE Transactions on, 18(10):959-971, 1996.
16. 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 Pattern Recognition (ICPR), 2012 21st International Conference on, pages 170-173. IEEE, 2012.
17. D. G. Lowe. Distinctive image features from scale-invariant keypoints. International journal of computer vision, 60(2):91-110, 2004.
18. S. G. Mallat. A theory for multiresolution signal decomposition: the wavelet representation. Pattern Analysis and Machine Intelligence, IEEE Transactions on, 11(7):674-693, 1989.
19. P. L. Meroni and P. H. Schur. Ana screening: an old test with new recommendations. Annals of the Rheumatic Diseases, 2010.
20. T. Ojala, M. Pietikainen, and T. Maenpaa. Multiresolution gray-scale and rotation invariant texture classification with local binary patterns. Pattern Analysis and Machine Intelligence, IEEE Transactions on, 24(7):971-987, 2002.
21. V. Snell, W. Christmas, and J. Kittler. Texture and shape in uorescence pattern identification for auto-immune disease diagnosis. In Pattern Recognition (ICPR), 2012 21st International Conference on, pages 3750-3753. IEEE, 2012.
22. P. Strandmark, J. Ulén, and F. Kahl. Hep-2 staining pattern classification. In Pattern Recognition (ICPR), 2012 21st International Conference on, pages 33-36. IEEE, 2012.
23. X. Tang. Texture information in run-length matrices. Image Processing, IEEE Transactions on, 7(11):1602-1609, 1998.
24. I. Theodorakopoulos, D. Kastaniotis, G. Economou, and S. Fotopoulos. Hep-2 cells classification via fusion of morphological and textural features. In Bioinformatics & Bioengineering (BIBE), 2012 IEEE 12th International Conference on, pages 689-694. IEEE, 2012.
25. G. Thibault, B. Fertil, C. Navarro, S. Pereira, P. Cau, N. Levy, J. Sequeira, and J. Mari. Texture indexes and gray level size zone matrix application to cell nuclei classification. 2009.
26. A. S. Wiik, M. Høier-Madsen, J. Forslid, P. Charles, and J. Meyrowitsch. Antinuclear antibodies: a contemporary nomenclature using hep-2 cells. Journal of autoimmunity, 35(3):276-290, 2010.
27. A. Wiliem, Y. Wong, C. Sanderson, P. Hobson, S. Chen, and B. C. Lovell. Classification of human epithelial type 2 cell indirect immunouoresence images via codebook based descriptors. In Applications of Computer Vision (WACV), 2013 IEEE Workshop on, pages 95-102. IEEE, 2013.