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Localization of Optic Disc and Blood Vessel Segmentation: A Survey
2017
International Journal of Computer Applications
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In this work, the various methods used to locate OD and blood vessel segmentation from retinal images are discussed. ...
An efficient detection of optic disc(OD) is an important task in an automated retinal image examination system. Most of the OD detection algorithms are developed for normal retinal images. ...
Our sincere thanks to Lord Almighty, who has been guiding us in every step. ...
doi:10.5120/ijca2017913091
fatcat:i2vkclxd55gkpmpdtvymo4fnxa
The Status of Maculopathy in Diabetes and Prediabetes Patients in a Population-Based Study Detected by Optical Coherence Tomography: The 2011 Health Examination Survey in Beijing
2017
BioMed Research International
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High prevalence of maculopathy was found in patients with diabetes in a Chinese population. Maculopathy poses a significant public health problem in China with rapid rising trend of diabetes. ...
The aim of the study was to investigate the prevalence and the risk factors of maculopathy detected by optical coherence tomography (OCT) in a Chinese population with diabetes or prediabetes. ...
Thirdly, we did not use the invasive angiography to make a definitive diagnosis of maculopathy in this health examination survey. ...
doi:10.1155/2017/6513076
pmid:28808662
pmcid:PMC5541794
fatcat:7kpaxfctxjhzppfkuet73gzuxq
Deep Learning based Computer-Aided Diagnosis Systems for Diabetic Retinopathy: A Survey
[article]
2019
arXiv
pre-print
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A computer-aided diagnosis (CAD) system involves various stages like detection, segmentation and classification of lesions in fundus images. ...
A computer-aided diagnosis (CAD) system based on retinal fundus images is an efficient and effective method for early DR diagnosis and assisting experts. ...
It must be taken into account for developing dataset for diabetic maculopathy. Screening different races is a limitation of DR screening systems. Ting et al. [95] addressed this issue. ...
arXiv:1811.01238v2
fatcat:7jhsijcz2ram3fahlbqd6umbjm
Telemedicine Process Used to Implement an Effective and Functional Screening Program for Diabetic Retinopathy
2008
Journal of Diabetes Science and Technology
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process being created to support a teleophthalmology screening program for diabetic retinopathy. ...
and effectiveness of the technology and workflow process being created to support a teleophthalmology screening program for diabetic retinopathy. ...
doi:10.1177/193229680800200506
pmid:19885261
pmcid:PMC2769785
fatcat:5pyfapkv7nas5atvfipdyny3ju
DIABETIC MACULOPATHY DETECTION USING FUNDUS FLUORESCEIN ANGIOGRAM IMAGES - A REVIEW
2014
International Journal of Research in Engineering and Technology
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Here we propose to perform a systematic review of the developed algorithms for processing FFA images of patients suffering from diabetic maculopathy. ...
There have been many survey papers of algorithms for pre-processing, segmentation and classification involving Fundus and OCT images. ...
Section 4 provides a survey of the common image processing steps for detecting and quantification of diabetic maculopathy. ...
doi:10.15623/ijret.2014.0327001
fatcat:oed2jux2ojg4zlnpmzrcbqegxu
Automatic Segmentation of Optic Disc in Eye Fundus Images: A Survey
2015
ELCVIA Electronic Letters on Computer Vision and Image Analysis
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Optic disc detection and segmentation is one of the key elements for automatic retinal disease screening systems. ...
Image Processing for Ophthalmology The majority of works dealing with ophthalmology image processing can be divided into two broad categories [2] [5]: Automated Detection of Abnormalities This group aims ...
[10] contains 99 fundus images taken from 50 patients randomly sampled from a diabetic retinopathy screening program; 96 images have discernible Optic Nerve Head (ONH).The images were acquired using ...
doi:10.5565/rev/elcvia.680
fatcat:ibd4rdmwmna5pbaoxdw2o7xo24
A survey on attention mechanisms for medical applications: are we moving towards better algorithms?
[article]
2022
arXiv
pre-print
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on medical image classification with three different use cases. ...
These experiments focus on the integrating process of attention mechanisms into established deep learning architectures, the analysis of their predictive power, and a visual assessment of their saliency ...
Acknowledgements This work, developed within the scope of the project "TAMI -Transparent Artificial Medical Intelligence" (NORTE-01-0247-FEDER-045905), is co-financed by ERDF -European Regional Fund through ...
arXiv:2204.12406v1
fatcat:lwz3hvd44bfqnhf7n57ejehidu
Algorithms for digital image processing in diabetic retinopathy
2009
Computerized Medical Imaging and Graphics
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This work examined recent literature on digital image processing in the field of diabetic retinopathy. ...
The variety of outcome measures, use of a gold standard or ground truth, data sample sizes and the use of image databases is discussed. ...
Discussion A structured survey of algorithms for the automatic detection of retinopathy in digital color retinal images has been presented. ...
doi:10.1016/j.compmedimag.2009.06.003
pmid:19616920
fatcat:uprqflyj3zfupizg5w7ol4jppq
MULTISTAGE CLASSIFICATION OF DIABETIC RETINOPATHY USING FUZZYNEURAL NETWORK CLASSIFIER
2018
ICTACT Journal on Image and Video Processing
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It includes pre-processing of the image, segmentation of region of interest, feature extraction and classification. ...
Early detection of DR is used to support the patients to prevent blindness and to be aware of this disease. This paper proposes a novel technique for detecting DR using hybrid classifiers. ...
Fuzzy image processing technique was developed to automatically detect the DR and maculopathy in retinal fundus images [13] . ...
doi:10.21917/ijivp.2018.0244
fatcat:qgijtkwibbfzrmng6kbqi5kl2e
Role of Optical Coherence Tomography Imaging in Predicting Progression of Age-Related Macular Disease: A Survey
2021
Diagnostics
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In this paper, we look at how OCT imaging can be used to diagnose AMD. Our main aim is to examine and compare automated computer-aided diagnostic (CAD) systems for diagnosing and grading of AMD. ...
We provide a brief summary, outlining the main aspects of performance assessment and providing a basis for current research in AMD diagnosis. ...
An illustrative OCTA image of a CNV lesion using Optovue Angiovue. ...
doi:10.3390/diagnostics11122313
pmid:34943550
pmcid:PMC8699887
fatcat:o2eoewjmbrgm3nbsqhtmre656i
A Road Map to Understand the Current Status of Diabetic Retinopathy Detection and Classification Methods
2020
International Journal of Engineering and Advanced Technology
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This research work has made a short survey on diverse DR detection mechanisms for determining the shortcoming of contributed papers to promote the future scope of this research aspect. ...
In the working-age population, the primary reason for blindness is Diabetic Retinopathy, which can be identified from the retinal fundus image. ...
[19] have proposed a narrative fuzzy based model for the identification of DR and maculopathy automatically in eye fundus images. ...
doi:10.35940/ijeat.c5605.049420
fatcat:5pmkjwar3zft3a2lodhpuf5jqe
Quality assurance in diabetic retinal screening in South Africa
2014
South African Medical Journal
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Diabetic retinopathy (DR) is an important biomarker for microvascular disease and blindness. Digital fundus photography is a cost-effective way of screening for DR. ...
The Scottish EQA software system was used to enable on-line grading of 100 retinal photographs. Expert National Health Service graders provided the consensus expert grading for the image set. ...
One such intervention is the introduction of a diabetic retinal screening programme for the early detection of diabetic retinopathy (DR) and the prevention of blindness. ...
doi:10.7196/samj.8678
pmid:25363058
fatcat:7tcnfc6qabfyfmeskzpd6w4ike
A Multi-Center Diabetes Eye Screening Study in Community Settings: Study Design and Methodology
2016
Ophthalmic Epidemiology
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care and their experiences with the screening process. ...
Images were evaluated at a telemedicine reading center by trained evaluators using the National Health System DR grading classification. ...
Discussion The INSIGHT/DESS represents a uniquely designed, multi-center study evaluating diabetic eye screening using a non-mydriatic camera in community-based settings in the US. ...
doi:10.3109/09286586.2015.1099682
pmid:26949832
pmcid:PMC4915052
fatcat:lvq7kjj33rbjrccopivrix5lga
A Review of Diabetic Retinopathy: datasets, approaches, evaluation metrics and future trends
2021
Journal of King Saud University: Computer and Information Sciences
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This study covers a review of existing image techniques, the gold standard and private datasets available, performance measures used for detection and grading of DR. ...
Early diagnosis and regular screening of this disease are essential for prompt processing through artificial intelligence techniques. ...
Image processing and deep learning techniques have been implemented efficiently, for diagnosing diabetic retinopathy and maculopathy. ...
doi:10.1016/j.jksuci.2021.06.006
fatcat:5fghsirxondunda6v6jnzo4jce
Digital Ocular Fundus Imaging: A Review
2011
Ophthalmologica
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use in screening programs. ...
Retinal image processing and analysis, automated disease detection and identification of the stage of diabetic retinopathy (DR) are addressed as well. ...
Images can be sent to reading centers for manual or automatic screening [35] . ...
doi:10.1159/000329597
pmid:21952522
fatcat:bzosmzdlb5flpgjromn7kdmhwm
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