Screening for age-related macular degeneration using nonstereo digital fundus photographs

Jain, Saurabh; Hamada, S; Membrey, W L; Chong, Victor

doi:10.1038/sj.eye.6701916

Cited by 25 publications

(26 citation statements)

References 18 publications

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“…The best result achieved was sensitivity of 82%. It is worth noted that in other work [6], the mean sensitivity achieved through graders observation on different set of retinal images was 86%.…”

Section: Discussionmentioning

confidence: 99%

“…However, the manual processing of retinal images is labour intensive. The accuracy of the screening is also subject to the graders observation [6]. The automation, or partial automation, of the process is therefore desirable although the complexity of drusen detection hampers such automated screening, especially in the case of early stage AMD when the presence of drusen is often difficult to detect.…”

Section: Introductionmentioning

confidence: 99%

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Retinal image classification using a histogram based approach

Hijazi

Coenen

Zheng

2010

The 2010 International Joint Conference on Neural Networks (IJCNN)

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Abstract-An approach to classifying retinal images using a histogram based representation is described. More specifically, a two stage Case Based Reasoning (CBR) approach is proposed, to be applied to histogram represented retina images to identify Age-related Macular Degeneration (AMD). To measure the similarity between histograms, a time series analysis technique, Dynamic Time Warping (DTW), is employed. The advocated approach utilises two "case bases" for the classification process. The first case base consists of green and saturation histograms with retinal blood vessels removed. The second case base comprises the same histograms, but with the Optic Disc (OD) removed as well. The reported experiments demonstrate that the proposed two stage classification process outperforms the single stage classification process with respect to a number of evaluation metrics: specificity, sensitivity and accuracy.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Retinal image classification using a histogram based approach

Hijazi

Coenen

Zheng

2010

The 2010 International Joint Conference on Neural Networks (IJCNN)

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“…A recent study suggests that non-stereo digital fundus images are safe and valid for screening for ARMD. 7 A further report demonstrated that electronic referral of patients with ARMD accompanied by digital images significantly reduced referral delays, speeding up access to photodynamic therapy treatment, and resulting in improved visual outcome. 8 …”

Section: Macular Diseasementioning

confidence: 99%

Impact of direct electronic optometric referral with ocular imaging to a hospital eye service

Cameron

Ahmed

Curry

et al. 2008

Eye

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Aims A study to assess the feasibility, safety, and clinical effectiveness of electronic referralFwith and without imagesFof patients directly from optometrists in primary care to the hospital eye service (HES) in contrast to the traditional paper-based referral, through the general practitioner (GP). Methods Three optometry practices sent consecutive referrals with images through the NHS Net to the HES. The standard General Ophthalmic Service form was electronically redesigned with additional information on patient choice for advice, appointment, or surgery. All paper referrals to the HES from the same three optometry practices before the study period were analysed (control group A) as were all paper referrals from the remaining optometrists in Fife (control group B). Results A total of 346 electronic referrals were received over 18 months. 218 (63%) were classified as requiring and 128 (37%) as not requiring a HES appointment. The latter were subsequently examined with unexpected pathology found in three cases (glaucoma, macular pigment epithelial detachment, and possible peripheral retinal tear). In both groups, the major pathologies reported were macular degeneration, cataract, glaucoma, diabetic retinopathy, and abnormal retinal appearances. A total of 17 (15%) patients in group A and 26 (8.4%) patients in group B were classified as not requiring HES appointment. These control groups indicate that approximately 10-15% of paper referrals are not seen in the HES. To summarise, therefore, 63% of people referred by the optometrist directly using electronic referral (with or without images) were given a HES appointment compared to 85% of people referred through the traditional paper method (without images) through their GP. Conclusion Electronic referral with images to the HES is safe, speedy, efficient, and clinically accurate given some limitations and avoids unnecessary consultation in 37% of referrals.

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“…1 We believe this technique offers significant advantages in decreasing the time from referral to treatment especially with the advent of new treatment modalities for AMD. We read with keen interest the paper by Jain et al describing the successful use of non-stereo digital fundus photographs for screening for AMD.…”

mentioning

confidence: 99%

“…We read with keen interest the paper by Jain et al describing the successful use of non-stereo digital fundus photographs for screening for AMD. 1 Screening in medicine is defined as a method of detecting disease at a very early stage before it produces any signs or symptoms. In the case of screening for AMD, the aim is to prevent or modify a disease that can cause severe vision loss.…”

mentioning

confidence: 99%