HEp-2 fluorescence pattern classification

Pattern Recognition

Volumn 47, Issue 7, 2014, Pages 2338-2347

  Snell, V ^a   Christmas, W ^a   Kittler, J ^a  

^a UNIVERSITY OF SURREY   (United Kingdom)

Author keywords

HEp 2 pattern; IIF image; Texture

Indexed keywords

CELLS; DIAGNOSIS; FLUORESCENCE; IMAGE CLASSIFICATION; IMAGE TEXTURE;

AUTOMATED MEASUREMENT; CELL PATTERNS; DIAGNOSTIC SERVICES; FLUORESCENCE PATTERNS; HEP-2 PATTERN; INDIRECT IMMUNOFLUORESCENCE; INDIRECT IMMUNOFLUORESCENCE IMAGE; MAJORITY VOTER; MICROSCOPIC IMAGE; PATTERNS CLASSIFICATION;

CYTOLOGY;

EID: 84897108892     PISSN: 00313203     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.patcog.2013.10.012     Document Type: Article

References (16)

1. HEp-2 Cells Classification Contest, 2012. URL http://nerone.diiie.unisa. it/hep2contest/.
2. P. Soda, Early experiences in the staining pattern classification of HEp-2 slides, in: CBMS, 2007.
3. T.-Y. Hsieh, Y.-C. Huang, C.-W. Chung, Y.-L. Huang, HEp-2 cell classification in indirect immunofluorescence images, in: ICICS, 2009, pp. 1-4.
4. P. Elbischger, S. Geerts, K. Sander, G. Ziervogel-Lukas, P. Sinah, Algorithmic framework for HEp-2 fluorescence pattern classification to aid auto-immune diseases diagnosis, in: ISBI '09, 2009, pp. 562-565.
5. P. Foggia, G. Percannella, P. Soda, and M. Vento Benchmarking HEp-2 cells classification methods IEEE Trans. Med. Imaging 32 2013 1878 1889
6. S. Di Cataldo, et al., Applying textural features to the classification of HEp-2 cell patterns in IIF images, in: ICPR, 2012.
7. I. Ersoy, et al., HEp-2 cell classification in IIF images using ShareBoost, in: ICPR, 2012.
8. S. Ghosh, V. Chaudhary, Feature analysis for automatic classification of HEp-2 florescence patterns: computer-aided diagnosis of auto-immune diseases, in: ICPR, 2012.
9. K. Li, et al., Multiclass boosting SVM using different texture features in HEp-2 cell staining pattern classification, in: ICPR, 2012.
10. V. Snell, W. Christmas, J. Kittler, Texture and shape in fluorescence pattern identification for auto-immune disease diagnosis, in: ICPR, 2012.
11. P. Strandmark, J. Ulén, F. Kahl, HEp-2 staining pattern classification, in: ICPR, 2012.
12. G. Thibault, J. Angulo, Efficient statistical/morphological cell texture characterization and classification, in: ICPR, 2012.
13. B. Wafa, et al., Classification of biological cells using bio-inspired descriptors, in: ICPR, 2012.
14. MIVIA HEp-2 Images Dataset, 2012, 〈 http://mivia.unisa.it/datasets/ biomedical-image-datasets/hep2-image-dataset/ 〉.
15. I. Theodorakopoulos, D. Kastaniotis, G. Economou, S. Fotopoulos, HEp-2 cells classification via fusion of morphological and textural features, in: BIBE, 2012.
16. T.-K. Kim, J. Kittler, and R. Cipolla Discriminative learning and recognition of image set classes using canonical correlations Pattern Anal. Mach. Intell. 29 2007 1005 1018