TOSCA-Imaging - Developing Internet Based Image Processing Software for Screening and Diagnosis of Diabetic Retinopathy

Studies in Health Technology and Informatics

Volumn 107, Issue , 2004, Pages 222-226

  Hejlesen, Ole ^a   Ege, Bernhard ^a   Englmeier, Karl Hans ^b   Aldington, Steve ^c   McCanna, Leo ^d   Bek, Toke ^e  

^a AALBORG UNIVERSITY   (Denmark)

^b INSTITUTE OF EPIDEMIOLOGY   (Germany)

^c IMPERIAL COLLEGE LONDON   (United Kingdom)

^d Ocuco Ltd   (Ireland)

^e AARHUS UNIVERSITY HOSPITAL   (Denmark)

Author keywords

Diabetes; diabetic retinopathy; image processing grading of retinopathy; reference image data base; telescreening

Indexed keywords

DIAGNOSIS; EYE PROTECTION; IMAGE ANALYSIS; PATIENT TREATMENT; PATTERN RECOGNITION;

DIABETIC RETINOPATHY; IMAGE DATABASE; IMAGE PROCESSING GRADING OF RETINOPATHY; IMAGE-PROCESSING SOFTWARE; IMAGES PROCESSING; INTERNET BASED; REFERENCE IMAGE; REFERENCE IMAGE DATA BASE; SENSITIVITY AND SPECIFICITY; TELESCREENING;

GRADING;

ALGORITHM; ARTICLE; COMPUTER ASSISTED DIAGNOSIS; COMPUTER PROGRAM; DATA BASE; DIABETIC RETINOPATHY; FLUORESCENCE ANGIOGRAPHY; HUMAN; IMAGE PROCESSING; INTERNET; PATHOLOGY; RETINA BLOOD VESSEL; SENSITIVITY AND SPECIFICITY; TELEMEDICINE;

ALGORITHMS; DATABASES; DIABETIC RETINOPATHY; DIAGNOSIS, COMPUTER-ASSISTED; FLUORESCEIN ANGIOGRAPHY; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; INTERNET; RETINAL VESSELS; SENSITIVITY AND SPECIFICITY; SOFTWARE; TELEMEDICINE;

EID: 20444476655     PISSN: 09269630     EISSN: 18798365     Source Type: Book Series    
DOI: None     Document Type: Conference Paper

References (14)

1. The Diabetes Control and Complications Trial Research Group, The effect of intensive treatment of diabetes on the development and progression of long-term complications in insulin-dependent diabetes mellitus. The New England Journal of Medicine 329 (1993) 977-986.
2. Steffansson E, Bek T, Porta M, Larsen N, Kristinsson JK, Agardh E: Screening and prevention of diabetic blindness. Acta Ophthalmol 2000; 78/4:374-85
3. Lisa G. Brown. A survey of image registration techniques. ACM Computing Surveys, 24(4), December 1992.
4. Michael, H. Goldbaum, Valentina Kouznetsova, Brad L. Cote, Williams E. Hart and Mark Nelson. Automated registration of digital ocular fundus images for comparison of lesions. Ophthalmic Technologies, 1877:94-99,1993.
5. William E. Hart and Michael H. Goldbaum. Registering retinal images using automatically selected control point pairs. Image Processing, 1994. Proceedings. ICIP-94., IEEE International Conference on Image Processing, vol. 3, pp. 576-580,1994.
6. Artur V. Cideciyan. Registration of ocular fundus images. IEEE Engineering in Medicine and Biology, pp. 52-58, January/February 1995.
7. Ege BM, Dahl T, Søndergaard T, Bek T, Hejlesen OK, Larsen OV. Automatic registration of ocular fundus images. Symposium on computer assisted fundus image analysis. Copenhagen, May 29-30 2000.
8. J.S. Rapkin, K.M. Rapkin and G.W. Wilson. Digital Fundus Imaging: a Comparison with Photographic Techniques. Annals of Ophthalmology (1991) 23: 46-53.
9. T. Spencer, R.P. Phillips, P.F. Sharp and J.V. Forrester. Automated detection and quantification of microaneurysms in fluroscein angiograms. Graefe's Archive of Clinical and Experimental Ophthalmology (1992) 230: 36-41.
10. A. Manivannan, F. Sharp, R.P. Phillips, J.V. Forrester. Digital fundus imaging using a scanning laser ophthalmoscope. Physiological Measurement (1993): 14:43-56.
11. G.G. Gardner, D. Keating, T.H. Williamson and A.T. Elliot. Detection of diabetic retinopathy using neural network analysis of fundal images. Proceedings of the Second International Conference on Neural Networks and Expert Systems in Medicine and Health Care (University of Plymouth) (1996): 28-35.
12. E. Granum. Application of statistical and syntactical methods of analysis and classification to chromosome data. Pattern Recognition Theory andApplications (1982) pp. 373-391
13. B.M. Ege, O.V. Larsen, and O.K. Hejlesen. Detection of abnormalities in retinal images using digital image analysis. SCI99. Scandinavian Conference on Image Analysis, 1:833-840, June 1999
14. B. Kochner, D. Schuhmann, M. Michaelis, G. Mann, K.-H. Englmeier, Course tracking and contour extraction of retinal vessels from color fundus photographs: Most efficient use of steerable filters from model based image analysis, Proc. SPIE Medical Imaging 1998, pp 755-761