Special issue on the analysis and recognition of indirect immuno-fluorescence images

Pattern Recognition

Volumn 47, Issue 7, 2014, Pages 2303-2304

  Foggia, Pasquale ^a   Percannella, Gennaro ^a   Soda, Paolo ^b   Vento, Mario ^a  

^a UNIVERSITY OF SALERNO   (Italy)

^b UNIVERSITY CAMPUS BIO MEDICO   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 84897110336     PISSN: 00313203     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.patcog.2014.01.014     Document Type: Editorial

References (10)

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2. D. Milenovic, L. Stoiljkovic, N. Stojanovic, Cell classification for diagnostic of reactive histocytic hyperplasia using neural networks, in: Electrotechnical Conference on MELECON 98, Ninth Mediterranean, vol. 2, 18-20 May 1998, pp. 1466-1470.
3. T.W. Nattkemper, H.J. Ritter, and W. Schubert A neural classifier enabling high-throughput topological analysis of lymphocytes in tissue sections IEEE Trans. Inf. Technol. Biomed. 5 June (2) 2001 138 149
4. W. Lin, J. Xiao, E. Micheli-Tzanakou, A computational intelligence system for cell classification, in: Proceedings of the 1998 IEEE International Conference onInformation Technology Applications in Biomedicine, 16-17 May 1998, pp. 105-109.
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. P. Foggia, G. Percannella, A. Saggese, and M. Vento HEp-2 cells staining pattern recognition: where are we now? Pattern Recognit. 47 7 2014 2305 2314
7. R. Hiemann, and N. Hilger et al. Objective quality evaluation of fluorescence images to optimize automatic image acquisition Cytometry Part A 69 2006 182 184
8. P. Foggia, G. Percannella, P. Soda, M. Vento, Early experiences in mitotic cells recognition on HEp-2 slides, in: 23rd IEEE International Symposium on Computer-Based Medical Systems. CBMS 2010, 2010, pp. 38-43.
9. P. Perner, H. Perner, and B. Muller Mining knowledge for HEp-2 cell image classification J. Artif. Intell. Med. 26 2002 161 173
10. P. Soda, G. Iannello, and M. Vento A multiple experts system for classifying fluorescence intensity in antinuclear autoantibodies analysis Pattern Anal. Appl 12 September (3) 2009 215 226