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Ce service est entièrement gratuit et le restera. Comparison of two, three and four degree image fields with the Topcon CRW6 non-mydriatic camera for screening for diabetic retinopathy. The degree of exudation: the degree is function of the surface that is occupied by exudates and their locations with respect to the center of vision Macula. The download will only take a couple of minutes. Training set This database will be used for testing and improving the available algorithms as well as for validating the methods used to evaluate the algorithms. An efficiency indicator will be used, whose implementation remains to be more precisely defined, in order to evaluate performance with respect to medical diagnosis. The second expected result is the creation of large databases, which are indispensable to the scientific community which is currently working on retinal images.
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The individual marking of exudates and hemorrhages is not a real problem as there are less ambiguous cases as with microaneurysms. Therefore working towards a consensus between the different departments should be less necessary. Protocols and metrics Before adopting a given metrics, we have first to consider the audience to which this evaluation is intended, in other words the people who may be interested in the obtained results. We will first address the medical community. Therefore we must select a metrics that is commonly used in the medical field in the evaluation as well as in the presentation of the results.
Second, this work is intended to the scientific researchers who develop automatic image processing methods. Then we will have to select the metrics used by these scientists. We propose to compute and describe the results in two different ways: by applying first the performance measurements used by physicians, and second the more detailed statistics commonly used in image processing. The Analysis — Quantization algorithms will be applied to all the images of the evaluation database. We will do the same for the Indexing — Retrieval algorithms for which every image of the evaluation database will serve as the requested image.
Hence, the algorithms will be evaluated from two points of view: Evaluation for the medical community It has been decided to classify Diabetic Retinopathy into 6 stages of seriousness, 4 stages of exudation and 3 stages of hemorrhage and to indicate the number of microaneurysms for each image.
An efficiency indicator will be used, whose implementation remains to be more precisely defined, in order to evaluate performance with respect to medical diagnosis. This efficiency indicator will consist in the percentage of automated diagnoses in agreement with medical diagnoses. The Indexing — Retrieval algorithms will be evaluated with respect to the stages of seriousness of Diabetic Retinopathy.
The Segmentation — Quantization algorithms will be evaluated with respect to the stages of exudation and hemorrhage as well as to the number of microaneurysms. These measurements will be done from the annotations concerning the stage of seriousness of Diabetic Retinopathy. And to evaluate Segmentation — Quantization algorithms, we will assess their sensitivity and specificity with respect to the detection of microaneurysms, exudates and hemorrhages that have been marked individually by ophthalmologists.
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Expected results The first expected result is to have a good knowledge of the efficacy, performance, limitations and drawbacks of the algorithms. This should help to: Convince ophthalmologists to use automatic methods for diabetic retinopathy evaluation by providing them with quantitative assessments of the efficacy, performance, and potential limitations of available methods.
Establish a strong collaboration between the Messidor partners to foster the development of practical, supported, software products to be used in tracking-down services, telemedicine, pathology tracking, and as a diagnostic aid in the field of diabetic retinopathy.
The successful accomplishment of the Messidor project goals will be a major breakthrough in the field of public health and the treatment of eye disease.
The second expected result is the creation of large databases, which are indispensable to the scientific community which is currently working on retinal images.
Communication and exploitation of results Communication of scientific results The scientific results will be communicated through the Messidor internet web site, scientific papers and congress communications. Exploitation of data and software tools After the research campaign, the databases will be accessible to the scientific community by signed agreements taking into account any related legal constraints.
The value and industrialization of the software tools will be developed according to the rules defined and adopted by all the partners in the exploitation plan which will soon be elaborated. The value of indexing and retrieval algorithms and methods will also be developed in internet teaching applications. This could be another important benefit of Messidor program. Thèse de Docteur-Ingénieur, mai Detection of microaneurysms in color fundus images of the human retina, IN: A.
Giuliani, P. Screening for diabetic retinopathy using fundus photography and teletransmission. Expérience du Réseau de Santé Paris-Nord.
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Michael Fitzpatrick, M. Sonka, SPIE, , vol. Classifying convex sets for vessel detection in retinal images in: International Symposium on Biomedical Imaging, , p. Lille, France, mai Information processing in upper digestive endoscopy. Dépistage de la rétinopathie diabétique par rétinographie numérique. Screening of diabetic retinopathy by digital retinograph: advantages of pharmacological dilatation. Screening for diabetic retinopathy in France. Diabetes Metab.
Dépistage, surveillance et traitement de la rétinopathie diabétique. J Fr Ophtalmol. Severity of diabetic retinopathy is linked to lipoprotein a in type 1 diabetic patients.
Effectiveness and safety of screening for diabetic retinopathy with two non-mydriatic digital images as compared with the seven standard stereoscopic photographic fields. Can J Ophthalmol.
Comparison of two, three and four degree image fields with the Topcon CRW6 non-mydriatic camera for screening for diabetic retinopathy.
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