Automated diabetic retinopathy imaging in Indian eyes: A pilot study
Aim: To evaluate the efficacy of an automated retinal image grading system in diabetic retinopathy (DR) screening. Materials and Methods: Color fundus images of patients of a DR screening project were analyzed for the purpose of the study. For each eye two set of images were acquired, one centerd on...
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Wolters Kluwer Medknow Publications
2014-01-01
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doaj-4ebfcc6b3dd541d98ec329a92ed924442020-11-24T22:29:58ZengWolters Kluwer Medknow PublicationsIndian Journal of Ophthalmology0301-47381998-36892014-01-0162121121112410.4103/0301-4738.149129Automated diabetic retinopathy imaging in Indian eyes: A pilot studyRupak RoyAneesha LoboBikramjeet P PalCarlos Manta OliveiraRajiv RamanTarun SharmaAim: To evaluate the efficacy of an automated retinal image grading system in diabetic retinopathy (DR) screening. Materials and Methods: Color fundus images of patients of a DR screening project were analyzed for the purpose of the study. For each eye two set of images were acquired, one centerd on the disk and the other centerd on the macula. All images were processed by automated DR screening software (Retmarker). The results were compared to ophthalmologist grading of the same set of photographs. Results: 5780 images of 1445 patients were analyzed. Patients were screened into two categories DR or no DR. Image quality was high, medium and low in 71 (4.91%), 1117 (77.30%) and 257 (17.78%) patients respectively. Specificity and sensitivity for detecting DR in the high, medium and low group were (0.59, 0.91); (0.11, 0.95) and (0.93, 0.14). Conclusion: Automated retinal image screening system for DR had a high sensitivity in high and medium quality images. Automated DR grading software′s hold promise in future screening programs.http://www.ijo.in/article.asp?issn=0301-4738;year=2014;volume=62;issue=12;spage=1121;epage=1124;aulast=RoyMalignant glaucomapseudophakicsurgical managementzonulo-hyaloido-vitrectomyAutomated retinal imagingdiabetic retinopathyscreening |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Rupak Roy Aneesha Lobo Bikramjeet P Pal Carlos Manta Oliveira Rajiv Raman Tarun Sharma |
spellingShingle |
Rupak Roy Aneesha Lobo Bikramjeet P Pal Carlos Manta Oliveira Rajiv Raman Tarun Sharma Automated diabetic retinopathy imaging in Indian eyes: A pilot study Indian Journal of Ophthalmology Malignant glaucoma pseudophakic surgical management zonulo-hyaloido-vitrectomy Automated retinal imaging diabetic retinopathy screening |
author_facet |
Rupak Roy Aneesha Lobo Bikramjeet P Pal Carlos Manta Oliveira Rajiv Raman Tarun Sharma |
author_sort |
Rupak Roy |
title |
Automated diabetic retinopathy imaging in Indian eyes: A pilot study |
title_short |
Automated diabetic retinopathy imaging in Indian eyes: A pilot study |
title_full |
Automated diabetic retinopathy imaging in Indian eyes: A pilot study |
title_fullStr |
Automated diabetic retinopathy imaging in Indian eyes: A pilot study |
title_full_unstemmed |
Automated diabetic retinopathy imaging in Indian eyes: A pilot study |
title_sort |
automated diabetic retinopathy imaging in indian eyes: a pilot study |
publisher |
Wolters Kluwer Medknow Publications |
series |
Indian Journal of Ophthalmology |
issn |
0301-4738 1998-3689 |
publishDate |
2014-01-01 |
description |
Aim: To evaluate the efficacy of an automated retinal image grading system in diabetic retinopathy (DR) screening. Materials and Methods: Color fundus images of patients of a DR screening project were analyzed for the purpose of the study. For each eye two set of images were acquired, one centerd on the disk and the other centerd on the macula. All images were processed by automated DR screening software (Retmarker). The results were compared to ophthalmologist grading of the same set of photographs. Results: 5780 images of 1445 patients were analyzed. Patients were screened into two categories DR or no DR. Image quality was high, medium and low in 71 (4.91%), 1117 (77.30%) and 257 (17.78%) patients respectively. Specificity and sensitivity for detecting DR in the high, medium and low group were (0.59, 0.91); (0.11, 0.95) and (0.93, 0.14). Conclusion: Automated retinal image screening system for DR had a high sensitivity in high and medium quality images. Automated DR grading software′s hold promise in future screening programs. |
topic |
Malignant glaucoma pseudophakic surgical management zonulo-hyaloido-vitrectomy Automated retinal imaging diabetic retinopathy screening |
url |
http://www.ijo.in/article.asp?issn=0301-4738;year=2014;volume=62;issue=12;spage=1121;epage=1124;aulast=Roy |
work_keys_str_mv |
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