Diabetic retinopathy grading by digital curvelet transform

Computational and Mathematical Methods in Medicine

Volumn 2012, Issue , 2012, Pages

  Hajeb Mohammad Alipour, Shirin ^a   Rabbani, Hossein ^a   Akhlaghi, Mohammad Reza ^b  

^a ISFAHAN UNIVERSITY OF MEDICAL SCIENCES   (Iran)

^b ISFAHAN UNIVERSITY OF MEDICAL SCIENCES   (Iran)

Author keywords

[No Author keywords available]

Indexed keywords

BLOOD VESSELS; COLOR IMAGE PROCESSING; DIAGNOSIS; GRADING; IMAGE ENHANCEMENT; IMAGE SEGMENTATION; SUPPORT VECTOR MACHINES;

CURVELET COEFFICIENTS; DIABETIC RETINOPATHY; DIGITAL CURVELET TRANSFORMS; FLUORESCEIN ANGIOGRAPHY; FOVEAL AVASCULAR ZONES; MORPHOLOGICAL OPERATOR; NONPROLIFERATIVE DIABETIC RETINOPATHIES; SENSITIVITY AND SPECIFICITY;

EYE PROTECTION;

ALGORITHM; ARTICLE; DIABETIC RETINOPATHY; DIGITAL CURVELET TRANSFORM; DISEASE CLASSIFICATION; DISEASE SEVERITY; EYE FUNDUS; FLUORESCENCE ANGIOGRAPHY; HUMAN; IMAGE ANALYSIS; IMAGE PROCESSING; MAJOR CLINICAL STUDY; MICROANEURYSM; OPTIC DISK; RETINA BLOOD VESSEL; RETINA EXUDATE; RETINA FOVEA; SIMULATION; SUPPORT VECTOR MACHINE; ANGIOGRAPHY; BIOPHYSICS; CELL PROLIFERATION; CHEMISTRY; CLASSIFICATION; COLOR; COMPUTER ASSISTED DIAGNOSIS; COMPUTER PROGRAM; COMPUTER SIMULATION; DIAGNOSTIC IMAGING; FEMALE; METHODOLOGY; NORMAL DISTRIBUTION; PATHOLOGY; PHOTOGRAPHY;

CONTRAST MEDIUM; FLUORESCEIN;

ALGORITHMS; ANGIOGRAPHY; BIOPHYSICS; CELL PROLIFERATION; COLOR; COMPUTER SIMULATION; CONTRAST MEDIA; DIABETIC RETINOPATHY; DIAGNOSTIC IMAGING; FEMALE; FLUORESCEIN; FUNDUS OCULI; HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGE PROCESSING, COMPUTER-ASSISTED; NORMAL DISTRIBUTION; PHOTOGRAPHY; SOFTWARE;

EID: 84867320464     PISSN: 1748670X     EISSN: 17486718     Source Type: Journal    
DOI: 10.1155/2012/761901     Document Type: Article

References (29)

1. Cheung N., Mitchell P., Wong T. Y., Diabetic retinopathy. The Lancet 2010 376 9735 124 136 2-s2.0-77955013602 10.1016/S0140-6736(09)62124-3
2. Mohamed Q., Gillies M. C., Wong T. Y., Management of diabetic retinopathy: a systematic review. Journal of the American Medical Association 2007 298 8 902 916 2-s2.0-34548087845 10.1001/jama.298.8.902 (Pubitemid 47311296)
3. Niemeijer M., Abràmoff M. D., Van Ginneken B., Segmentation of the optic disc, macula and vascular arch in fundus photographs. IEEE Transactions on Medical Imaging 2007 26 1 116 127 2-s2.0-33846265680 10.1109/TMI.2006.885336 (Pubitemid 46096356)
4. Li H., Chutatape O., Automated feature extraction in color retinal images by a model based approach. IEEE Transactions on Biomedical Engineering 2004 51 2 246 254 2-s2.0-1642471650 10.1109/TBME.2003.820400 (Pubitemid 38133604)
5. American Academy of Ophthalmology Retina Panel, Preferred practice pattern guidelines. Diabetic retinopathy. American Academy of Ophthalmology San Francisco, Calif, USA
6. Ahmad Fadzil M. H., Nugroho H., Izhar L. I., Nugroho H. A., Analysis of retinal fundus images for grading of diabetic retinopathy severity. Medical and Biological Engineering and Computing 2011 49 6 693 700 2-s2.0-79959884489 10.1007/s11517-011-0734-2
7. Jelinek H. F., Cree M. J., Leandro J. J. G., Soares J. V. B., Cesar R. M., Luckie A., Automated segmentation of retinal blood vessels and identification of proliferative diabetic retinopathy. Journal of the Optical Society of America A 2007 24 5 1448 1456 2-s2.0-34249677389 10.1364/JOSAA.24. 001448 (Pubitemid 46951572)
8. Kahai P., Namuduri K. R., Thompson H., A decision support framework for automated screening of diabetic retinopathy. International Journal of Biomedical Imaging 2006 2006 8 2-s2.0-33645236019 10.1155/IJBI/2006/45806 45806 (Pubitemid 43460425)
9. Nayak J., Bhat P. S., Acharya U R., Lim C. M., Kagathi M., Automated identification of diabetic retinopathy stages using digital fundus images. Journal of Medical Systems 2008 32 2 107 115 2-s2.0-40549123754 10.1007/s10916-007-9113-9
10. Sopharak A., Uyyanonvara B., Barman S., Williamson T. H., Automatic detection of diabetic retinopathy exudates from non-dilated retinal images using mathematical morphology methods. Computerized Medical Imaging and Graphics 2008 32 8 720 727 2-s2.0-55949109974 10.1016/j.compmedimag.2008.08.009
11. Walter T., Klein J. C., Massin P., Erginay A., A contribution of image processing to the diagnosis of diabetic retinopathy detection of exudates in color fundus images of the human retina. IEEE Transactions on Medical Imaging 2002 21 10 1236 1243 2-s2.0-0036826187 10.1109/TMI.2002.806290
12. Yun W. L., Rajendra Acharya U., Venkatesh Y. V., Chee C., Min L. C., Ng E. Y. K., Identification of different stages of diabetic retinopathy using retinal optical images. Information Sciences 2008 178 1 106 121 2-s2.0-34948883369 10.1016/j.ins.2007.07.020 (Pubitemid 47531782)
13. Vallabha D., Dorairaj R., Namuduri K., Thompson H., Automated detection and classification of vascular abnormalities in diabetic retinopathy. 2 Proceedings of 13th IEEE Signals, Systems and Computers November 2004 1625 1629 2-s2.0-21644449928
14. Priya R., Aruna P., Review of automated diagnosis of diabetic retinopathy using the support vector machine. International Journal of Applied Engineering Research 2011 1 844 863
15. Hajeb S. H., Rabbani H., Akhlaghi M. R., A new combined method based on curvelet transform and morphological operators for automatic detection of foveal avascular zone. Signal, Image & Video Processing (Springer). In press
16. Candès E., Demanet L., Donoho D., Ying L., Fast discrete curvelet transforms. Multiscale Modeling and Simulation 2006 5 3 861 899 2-s2.0-33845602456 10.1137/05064182X (Pubitemid 47381814)
17. Starck J. L., Murtagh F., Candès E. J., Donoho D. L., Gray and color image contrast enhancement by the curvelet transform. IEEE Transactions on Image Processing 2003 12 6 706 717 2-s2.0-0038156429 10.1109/TIP.2003.813140
18. Esmaeili M., Rabbani H., Dehnavi A. M., Dehghani A., Automatic optic disk detection by the use of curvelet transform. Proceedings of the 9th International Conference on Information Technology and Applications in Biomedicine, ITAB 2009 November 2009 1 4 2-s2.0-77949627584 10.1109/ITAB.2009. 5394299
19. Esmaeili M., Rabbani H., Mehri A., Dehghani A., Extraction of retinal blood vessels by curvelet transform. Proceedings of the IEEE International Conference on Image Processing (ICIP '09) November 2009 3353 3356 2-s2.0-77951940271 10.1109/ICIP.2009.5413909
20. Pisano E. D., Zong S., Hemminger B. M., DeLuca M., Johnston R. E., Muller K., Braeuning M. P., Pizer S. M., Contrast limited adaptive histogram equalization image processing to improve the detection of simulated spiculations in dense mammograms. Journal of Digital Imaging 1998 11 4 193 200 2-s2.0-0032194826 (Pubitemid 128541943)
21. Vapnik V., Statistical Learning Theory 1998 Springer
22. Hajeb S. H., Rabbani H., Akhlaghi M. R., Haghjoo S. H., Mehri A. R., Analysis of foveal avascular zone for grading of diabetic retinopathy severity 8 based on curvelet transform. Graefe's Archive for Clinical and Experimental Ophthalmology. In press
23. Vapnik V., Golowich S., Smola A., Mozer M., Jordan M., Petsche T., Support vector method for function approximation, regression estimation, and signal processing. Advances in Neural Information Processing Systems 1997 9 Cambridge, Mass, USA MIT Press 281 287
24. Osareh A., Mirmehdi M., Thomas B., Markham R., Comparative exudate classification using support vector machines and neural networks. Proceedings of the 5th International Conference on Medical Image Computing and Computer-Assisted Intervention September 2002 413 420
25. Berrichi F. Z., Benyettou M., Automated Diagnosis of Retinal Images Using the Support Vector Machine (SVM) Oran, Algerie Faculte des Science, Department of Informatique, USTO
26. Do M. N., Vetterli M., The contourlet transform: an efficient directional multiresolution image representation. IEEE Transactions on Image Processing 2005 14 12 2091 2106 2-s2.0-28944432472 10.1109/TIP.2005.859376 (Pubitemid 41781516)
27. Selesnick I. W., Baraniuk R. G., Kingsbury N. G., The dual-tree complex wavelet transform. IEEE Signal Processing Magazine 2005 22 6 123 151 2-s2.0-33747800938 10.1109/MSP.2005.1550194 (Pubitemid 46404908)
28. Simoncelli E. P., Freeman W. T., Adelson E. H., Heeger D. J., Shiftable multiscale transforms. IEEE Transactions on Information Theory 1992 38 2 587 607 2-s2.0-0026735337 10.1109/18.119725
29. Lim W. Q., The discrete shearlet transform: a new directional transform and compactly supported shearlet frames. IEEE Transactions on Image Processing 2010 19 5 1166 1180 2-s2.0-77951259893 10.1109/TIP.2010.2041410