All-IDB: The acute lymphoblastic leukemia image database for image processing

Proceedings - International Conference on Image Processing, ICIP

Volumn , Issue , 2011, Pages 2045-2048

  Labati, Ruggero Donida ^a   Piuri, Vincenzo ^a   Scotti, Fabio ^a  

^a UNIVERSITY OF MILAN   (Italy)

Author keywords

Acute lymphoblastic leukemia; image classification; image segmentation; public image database

Indexed keywords

ACUTE LYMPHOBLASTIC LEUKEMIA; AUTOMATED SYSTEMS; BLOOD SAMPLES; DATA SETS; FIGURES OF MERITS; IMAGE DATABASE; NEW STUDY; PERIPHERAL BLOOD; PUBLIC DATASET; PUBLIC IMAGE; TELEMEDICINE APPLICATION; TEST TOOLS; VISUAL ANALYSIS;

ALGORITHMS; AUTOMATION; BLOOD; CLASSIFICATION (OF INFORMATION); DISEASES; IMAGE CLASSIFICATION; IMAGE SEGMENTATION; PATTERN MATCHING;

IMAGE MATCHING;

EID: 84856240311     PISSN: 15224880     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICIP.2011.6115881     Document Type: Conference Paper

References (19)

1. D.J. Foran, et al., "Computer-assisted discrimination among malignant lymphomas and leukemia using immunophenotyping, intelligent image repositories, and telemicroscopy", IEEE Transactions on Information Technology in Biomedicine, pp. 265-73 vol. 4, 2000.
2. K.S. Kim, P.K. Kim, J.J. Song, and Y.C. Park, "Analyzing Blood Cell Image do Distinguish its Abnormalities" ACM InternationalConference on Multimedia, Los Angeles, CA, USA, pp. 395-397, 2002.
3. V.A. Kovalev, A.Y. Grigoriev, and H. Ahn, "Robust recognition of White Blood Cell Images", Proceedingsof the InernationalConferenceon Pattern Recognition, Vienna, pp. 371-375 vol. 4, 1996.
4. H. Nor Hazlyna, et al., "Comparison of acute leukemia Image segmentation using HSI and RGB color space," 10th International Conference on Information Sciences Signal Processing and their Applications (ISSPA), pp.749-752, May 2010.
5. F. Sadeghian, et al.,"A Framework for White Blood Cell Segmentation in Microscopic Blood Images Using Digital Image Processing", Biological Procedures Online, Springer New York, pp. 196 - 206, 2009.
6. B. Nilsson, and A. Heyden, "Model-based segmentation of leukocytes clusters", International Conference on Pattern Recognition, pp. 727-730 vol. 1, 2002.
7. B. Prasad, J.S. Iris Choi, and W. Badawy, "A High Throughput Screening Algorithm for Leukemia Cells", IEEE Canadian Conference on Electrical and Computer Engineering, Ottawa, pp. 2094-2097, 2006.
8. P. Bamford, B. Lovell, "Method for Accurate Unsupervised Cell Nucleus Segmentation", Proceedingsof the 23rd Annual Conferenceof IEEE Engineering in Medicine and Biology Society, pp. 2704-2708, 2001.
9. C. Reta, L. A. Robles, J. A. Gonzalez, R. Diaz, and J. S. Guichard, "Segmentation of Bone Marrow Cell Images for Morphological Classification of Acute Leukemia", Proceedings of the Twenty-First International Florida Artificial Intelligence Research Society Conference, May 2010.
10. V. Piuri, and F. Scotti, "Morphological Classification of Blood Leucocytes by Microscope Images", IEEE International Conference on Computational Intelligence for Measurement Systems and Applications, pp. 103-108, 2004.
11. F. Scotti, "Automatic morphological analysis for acute leukemia identification in peripheral blood microscope images", IEEE International Conference on Computational Intelligence for Measurement Systems and Applications, pp. 96-101, 2005.
12. F. Scotti, "Robust Segmentation and Measurements Techniques of White Cells in Blood Microscope Images", Proceedingsof the IEEE Instrumentation and Measurement Technology Conference, pp. 43-48, 2006.
13. G. Ji, Z. Yang, W. You, W, "PLS-Based Gene Selection and Identification of Tumor-Specific Genes," IEEE Transactions onSystems, Man, and Cybernetics, Part C: Applications and Reviews, no.99, pp.1-12, October 2010.
14. B. Prasad, and W. Badwy, "High Throughput Algorithm for Leukemia Cell Population Statistics on a Hemocytometer", IEEE Biomedical Circuits and Systems Conference, pp. 27-30, 2007.
15. M. R. Asadi, et al. "Leukemia Cell Recognition with Zernike Moments of Holographic Images", IEEE Proceedings of 7th Nordic Signal Processing Symposium, Iceland, pp. 214-217, 2006.
16. Keith Breden Taylor, and Julian B. Schorr, "Blood Vol. 4", Collier's Encyclopedia, 1978.
17. J.M. Bennett et al. "Proposals for the classification of the acute leukaemias. French-American-British (FAB) co-operative group", Br J Haematol, Vol. 4, No. 33, pp. 451-458, August, 1976.
18. Biondi, G. Cimino, R. Pieters, and C. H. Pui, "Biological and therapeutic aspects of infant leukemia", Blood, Vol. 96, No. 1, pp. 24-33, July, 2000.
19. ALL-IDB web site, R. Donida Labati, V.Piuri, and F.Scotti, UniversitàdegliStudi di Milano, Departement of InformationTechnology, http://www.dti.unimi.it/fscotti/all.