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Items: 1 to 20 of 111

1.

Automated detection of malarial retinopathy-associated retinal hemorrhages.

Joshi VS, Maude RJ, Reinhardt JM, Tang L, Garvin MK, Abu Sayeed A, Ghose A, Hassan MU, Abràmoff MD.

Invest Ophthalmol Vis Sci. 2012 Sep 25;53(10):6582-8.

2.

Splat feature classification with application to retinal hemorrhage detection in fundus images.

Tang L, Niemeijer M, Reinhardt JM, Garvin MK, Abràmoff MD.

IEEE Trans Med Imaging. 2013 Feb;32(2):364-75. doi: 10.1109/TMI.2012.2227119. Epub 2012 Nov 15.

PMID:
23193310
3.

Automated detection of fundus photographic red lesions in diabetic retinopathy.

Larsen M, Godt J, Larsen N, Lund-Andersen H, Sjølie AK, Agardh E, Kalm H, Grunkin M, Owens DR.

Invest Ophthalmol Vis Sci. 2003 Feb;44(2):761-6.

PMID:
12556411
4.

Automated detection of diabetic retinopathy in a fundus photographic screening population.

Larsen N, Godt J, Grunkin M, Lund-Andersen H, Larsen M.

Invest Ophthalmol Vis Sci. 2003 Feb;44(2):767-71.

PMID:
12556412
5.

A study on hemorrhage detection using hybrid method in fundus images.

Bae JP, Kim KG, Kang HC, Jeong CB, Park KH, Hwang JM.

J Digit Imaging. 2011 Jun;24(3):394-404. doi: 10.1007/s10278-010-9274-9.

6.

Improvement of automated detection method of hemorrhages in fundus images.

Hatanaka Y, Nakagawa T, Hayashi Y, Hara T, Fujita H.

Conf Proc IEEE Eng Med Biol Soc. 2008;2008:5429-32. doi: 10.1109/IEMBS.2008.4650442.

PMID:
19163945
7.

Automated detection and differentiation of drusen, exudates, and cotton-wool spots in digital color fundus photographs for diabetic retinopathy diagnosis.

Niemeijer M, van Ginneken B, Russell SR, Suttorp-Schulten MS, Abràmoff MD.

Invest Ophthalmol Vis Sci. 2007 May;48(5):2260-7.

8.

Evaluation of automated fundus photograph analysis algorithms for detecting microaneurysms, haemorrhages and exudates, and of a computer-assisted diagnostic system for grading diabetic retinopathy.

Dupas B, Walter T, Erginay A, Ordonez R, Deb-Joardar N, Gain P, Klein JC, Massin P.

Diabetes Metab. 2010 Jun;36(3):213-20. doi: 10.1016/j.diabet.2010.01.002. Epub 2010 Mar 10.

9.

Automatic detection of microaneurysms in color fundus images.

Walter T, Massin P, Erginay A, Ordonez R, Jeulin C, Klein JC.

Med Image Anal. 2007 Dec;11(6):555-66. Epub 2007 May 26.

PMID:
17950655
10.

Optimal filter framework for automated, instantaneous detection of lesions in retinal images.

Quellec G, Russell SR, Abramoff MD.

IEEE Trans Med Imaging. 2011 Feb;30(2):523-33. doi: 10.1109/TMI.2010.2089383.

PMID:
21292586
11.

[Algorithm of locally adaptive region growing based on multi-template matching applied to automated detection of hemorrhages].

Gao WW, Shen JX, Wang YL, Liang C, Zuo J.

Guang Pu Xue Yu Guang Pu Fen Xi. 2013 Feb;33(2):448-53. Chinese.

PMID:
23697130
12.

Automated analysis of retinal images for detection of referable diabetic retinopathy.

Abràmoff MD, Folk JC, Han DP, Walker JD, Williams DF, Russell SR, Massin P, Cochener B, Gain P, Tang L, Lamard M, Moga DC, Quellec G, Niemeijer M.

JAMA Ophthalmol. 2013 Mar;131(3):351-7. doi: 10.1001/jamaophthalmol.2013.1743.

PMID:
23494039
13.

Malaria retinopathy and cerebellitis in a 9-year-old boy in the United States.

Hashemi N, Callon LM, Kumar KS.

J AAPOS. 2015 Feb;19(1):87-9. doi: 10.1016/j.jaapos.2014.09.013.

15.

Evaluation of a system for automatic detection of diabetic retinopathy from color fundus photographs in a large population of patients with diabetes.

Abràmoff MD, Niemeijer M, Suttorp-Schulten MS, Viergever MA, Russell SR, van Ginneken B.

Diabetes Care. 2008 Feb;31(2):193-8. Epub 2007 Nov 16.

16.

A novel automatic image processing algorithm for detection of hard exudates based on retinal image analysis.

Sánchez CI, Hornero R, López MI, Aboy M, Poza J, Abásolo D.

Med Eng Phys. 2008 Apr;30(3):350-7. Epub 2007 Jun 6.

PMID:
17556004
17.

Automated early detection of diabetic retinopathy.

Abràmoff MD, Reinhardt JM, Russell SR, Folk JC, Mahajan VB, Niemeijer M, Quellec G.

Ophthalmology. 2010 Jun;117(6):1147-54. doi: 10.1016/j.ophtha.2010.03.046.

18.

Automated detection of diabetic retinopathy: results of a screening study.

Bouhaimed M, Gibbins R, Owens D.

Diabetes Technol Ther. 2008 Apr;10(2):142-8. doi: 10.1089/dia.2007.0239.

PMID:
18260777
19.

Computer classification of nonproliferative diabetic retinopathy.

Lee SC, Lee ET, Wang Y, Klein R, Kingsley RM, Warn A.

Arch Ophthalmol. 2005 Jun;123(6):759-64.

PMID:
15955976
20.

Simple methods for segmentation and measurement of diabetic retinopathy lesions in retinal fundus images.

Köse C, Sevik U, Ikibaş C, Erdöl H.

Comput Methods Programs Biomed. 2012 Aug;107(2):274-93. doi: 10.1016/j.cmpb.2011.06.007. Epub 2011 Jul 14.

PMID:
21757250
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