Image processing methods and architectures in diagnostic pathology

Folia Histochemica et Cytobiologica

Volumn 47, Issue 4, 2009, Pages 691-697

  Bueno, Gloria ^a   Déniz, Oscar ^a   Salido, Jesús ^a   Rojo, Marcial García ^b  

^a UNIVERSITY OF CASTILLA LA MANCHA   (Spain)

^b HOSPITAL GENERAL UNIVERSITARIO DE CIUDAD REAL   (Spain)

Author keywords

Diagnostic pathology; Digital slide image analysis; Grid architecture; Image processing

Indexed keywords

ARTICLE; BIOENGINEERING; CLUSTER ANALYSIS; COMPUTER ANALYSIS; COMPUTER PROGRAM; HISTOPATHOLOGY; IMAGE ANALYSIS; IMAGE PROCESSING; INFORMATION RETRIEVAL; INFORMATION STORAGE; MEDICAL INFORMATION SYSTEM; TISSUE STRUCTURE; VIRTUAL REALITY;

EID: 77954394122     PISSN: 02398508     EISSN: None     Source Type: Journal    
DOI: 10.2478/v10042-009-0116-x     Document Type: Article

References (26)

1. Roure D, Jennings NR, Shadbolt NR. The semantic grid: past, present and future. Proceedings of the IEEE. 2005;93(3):669-681.
2. Parashar M, Browne JC. Conceptual and implementation models for the grid. Proceedings of the IEEE. 2005;93(3): 653-668.
3. Montagnat J, Breton V, Magnin IE. Using grid technologies to face medical image analysis challenges. In: Proceedings of BioGrid 2003: 3rd Int. Symp. Cluster Comput. Grid (CCGrid 2003), pp. 588-593.
4. Görtler J, Berghoff M, Kayser G, Kayser K. Grid technology in tissue-based diagnosis: fundamentals and potential developments. Diagn Pathol. 24 August 2006, 1:23, from: http://www.diagnosticpathology.org/content/1/1/23.
5. Peltier S, Ellisman M. The Grid, blueprint for a new computing infrastructure. In: The Biomedical Informatics Research Network, 2nd ed. Amsterdam, The Netherlands: Elsevier, 2003, from: http://www.nbirn.net.
6. Amendolia R, Estrella F, Hauer T, Manset D, McCabe D, McClatchey R, Odeh M, Reading T, Rogulin D, Schottlander D, Solomonides T. Grid databases for shared image analysis in the mammogrid project. In: Proc. 8th Int. Database Eng. Appl. Symp. (Ideas 2004), pp. 302-311.
7. Solomonides A, McClatchey R, Odeh M, Brady M, Mulet-Parada M, Schottlander D, Amendolia S. Mammogrid and ediamond: Grids applications in mammogram analysis. In: Proc. International Association for Development of the Information Society International Conference, IADIS Int. Conf.: e-Soc. 2003, pp. 1032-1033.
8. Tweed T, Miguet S. (2003). Medical image database on the grid: Strategies for data distribution. In: Proc. HealthGrid. 2003 Workshop, pp. 152-162.
9. caBIG, caTissue. (2006-2007). From: https://cabig.nci.nih.gov/tools/catissuecore, and https://cabig.nci.nih.gov/workspaces/Architecture/caGrid http://gforge.nci.nih.gov/projects/cacorecvs/
10. Kayser G., Radziszowski D., Bzdyl P., Sommer R., & Kayser K. Theory and implementation of an electronic, automated measurement system for images obtained from immunohisto-chemically stained slides. Anal Quant Cytol Histol. 2006: 28(1);27-38.
11. Kayser K, Molnar B, Weinstein RS. Virtual Microscopy. Published by VSV Interdisciplinary Medical Publishing, 2006.
12. Oberholzer M, Christen H, Haroske G, Helfrich M, Oberli H, Jundt G, Stauch G, Mihatsch M, Brauchli K. Modern telepathology: a distributed system with open standards. Curr Probl Dermatol. 2003:32;102-14.
13. Virolab. (2006). From: http://www.virolab.org:8080/virolab/ and http://www.gridwisetech.com/virolab.
14. Germain C, Breton V, Clarysse P, Gaudeau Y, Glatard T, Jeannot E, Legre Y, Loomis C, Magnin I, Montagnat J, Moureaux JM, Osorio A, Pennec X, Texier R. Grid-enabling medical image analysis. J Clin Monit Comput. 2005:19(4-5);339-349.
15. Liu BJ, Zhou MZ, Documet J. Utilizing data grid architecture for the backup and recovery of clinical image data. Comput Med Imaging Graph. 2005:29(2-3);95-102.
16. Balogh AA, Preul MC, Laszlo K, Schornak M, Hickman M, Deshmukh P, Spetzler RF. Multilayer image grid reconstruction technology: four-dimensional interactive image reconstruction of microsurgical neuroanatomic dissections. Neurosurgery. 2006:58(1 Suppl):ONS157-165.
17. Husain OA, Watts KC. Preparatory methods for DNA hydrolysis, cytochemistry, immunocytochemistry and ploidy analysis. Their application to automated and routine diagnostic cytopathology. Anal Quant Cytol Histol. 1987:9(3);218-224.
18. Haroske G, Meyer W, Kunze D, Boeking A. Quality control measures for dna image cytometry in a telepathology network. Adv Clin Path. 1998:2(2);143-145.
19. Haroske G, Meyer W, Oberholzer M, Bocking A, Kunze KD. Competence on demand in DNAimage cytometry. Pathol Res Pract. (2000:196(5);285-291.
20. Beynon MD, Kurc T, Catalyurek U, Chang C, Sussman A, Saltz J. Distributed processing of very large datasets with DataCutter. Parallel Computing. 2001:27(11);1457-1478.
21. Kumar VS, Rutt B, Kurc T, Catalyurek UV, Pan TC, Chow S, Lamont S, Martone M, Saltz JH. Large-Scale Biomedical Image Analysis in Grid Environments. IEEE Trans. on Information Technology in Biomedicine. 2008:12(2);154-161.
22. Cambazoglu B, Sertel O, Kong J. Efficient processing of pathological images using the grid: Computer-aided prognosis of neuroblastoma. In: Proc. Challenges of Large Applications in Distributed Environments, CLADE'07, June 25, 2007, pp. 35-41, Monterey, California.
23. Schrader T, Niepage S, Leuthold T, Saeger K, Schluns K, Hufnagl P, Kayser K, Dietel M. The diagnostic path, a useful visualisation tool in virtual microscopy. Diagnostic Pathology. doi:10.1186/1746-1596-1-40, 08 November 2006, 1:40, from: http://www.diagnosticpathology.org/content/1/1/40.
24. Kayser K, Görtler J, Goldmann T, Vollmer E, Hufnagl P, Kayser G. Image standards in tissue-based diagnosis (diagnostic surgical pathology). Diagn Pathol. 2008;3:17 from: http://www.diagnosticpathology.org/content/3/1/17.
25. Pérez del Rey D, Crespo J, Pérez LJ, Dorado J, Bueno G, Feliu V, Estruch A, Heredia JA. Biomedical Image Processing Integration through INBIOMED: AWeb Services-Based Platform. Lecture Notes in Computer Science, (LNBI). 2005; 3745:34-43.
26. Bueno G, González R, Déniz O, González J, García-Rojo M. Colour model analysis for microscopic image processing. Diagn Pathol. 2008;3(Suppl 1):S18.