Find all needed information about Decision Support Automated Screening Diabetic Retinopathy. Below you can see links where you can find everything you want to know about Decision Support Automated Screening Diabetic Retinopathy.
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2324023/
In this paper, we propose a decision support system (DSS) for automated screening of early signs of diabetic retinopathy. Classification schemes for deducing the presence or absence of DR are developed and tested. The detection rule is based on binary-hypothesis testing problem which simplifies the problem to yes/no decisions.Cited by: 66
https://www.researchgate.net/publication/233723980_A_Decision_Support_Framework_for_Automated_Screening_of_Diabetic_Retinopathy
In this paper, we propose a decision support system (DSS) for automated screening of early signs of diabetic retinopathy. Classification schemes for deducing the presence or absence of DR are...
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.580.9424
A prompt diagnosis when the disease is at the early stage can help prevent irreversible damages to the diabetic eye. This paper presents a decision support framework for automated screening of early signs of DR and classification schemes for deducing the presence or absence of microaneurysms are developed and tested under a univariate environment.
https://dl.acm.org/citation.cfm?id=1938422
The increasing number of diabetic retinopathy (DR) cases world wide demands the development of an automated decision support system for quick and cost-effective screening of DR. We present an automatic screening system for detecting the early stage of DR, which is known as non-proliferative diabetic retinopathy (NPDR).Cited by: 28
https://www.researchgate.net/profile/K_Namuduri/publication/233723980_A_Decision_Support_Framework_for_Automated_Screening_of_Diabetic_Retinopathy/links/0f317530c861920c82000000.pdf?inViewer=true&disableCoverPage=true&origin=publication_detail
A prompt diagnosis when the disease is at the early stage can help prevent irreversible damages to the diabetic eye. In this paper, we propose a decision support system (DSS) for automated...
https://journals.sagepub.com/doi/abs/10.1177/0954411912470240
Dec 28, 2012 · Routine eye screening of patients with diabetes helps to detect diabetic retinopathy at the early stage. It is very laborious and time-consuming for the doctors to go through many fundus images continuously. Therefore, decision support system for diabetic retinopathy detection can reduce the burden of the ophthalmologists.Cited by: 27
https://arxiv.org/pdf/1411.0130.pdf
So for a fair competition, automated screening systems should be compared by human experts routinely involved. In this sense, manual grading is imperfect, since graders required to be highly speci c missed more than 5% of the cases of referable diabetic retinopathy in a study [7]. With an automated decision support of the grading process wider ac-
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5961805/
May 18, 2018 · Finally, given an increase in prevalence of both diabetes and associated retinal complications throughout the world, manual methods of diagnosis may be unable to keep apace with demand for screening services 12. Automated techniques for diabetic retinopathy diagnoses are essential to solving these problems.Cited by: 13
https://www.sciencedirect.com/science/article/pii/S0950705114000021
In this paper, an ensemble-based method for the screening of diabetic retinopathy (DR) is proposed. This approach is based on features extracted from the output of several retinal image processing algorithms, such as image-level (quality assessment, pre-screening, AM/FM), lesion-specific (microaneurysms, exudates) and anatomical (macula, optic disk) components.Cited by: 113
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