Automated Diabetic Retinopathy Image Assessment Software
نویسندگان
چکیده
منابع مشابه
Automatic Diabetic Assessment System for Diabetic Retinopathy Using Image Analysis
Diabetic retinopathy is the leading disease that occurs due to the diabetic mellitus. Several computer aided diagnosis helps ophthalmologists to diagnosis the severity of retinopathy but still the annual screening of retinal images is very important to detect diabetic retinopathy by an automatic assessment system for analyzing the images through region based method, filtering techniques, templa...
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Diabetic retinopathy is one of the serious eye diseases that can cause blindness and vision loss. Diabetes mellitus, a metabolic disorder, has become one of the rapidly increasing health threats both in India and worldwide. The complication of the diabetes associated to retina of the eye is diabetic retinopathy. A patient with the disease has to undergo periodic screening of eye. For the diagno...
متن کاملAutomated Early Detection of Diabetic Retinopathy Using Image Analysis Techniques
Diabetic retinopathy (DR) is a common retinal complication associated with diabetes. It is a major cause of blindness in middle as well as older age groups. Therefore early detection through regular screening and timely intervention will be highly beneficial in effectively controlling the progress of the disease. Since the ratio of people afflicted with the disease to the number of eye speciali...
متن کاملAutomated assessment of diabetic retinopathy severity using content-based image retrieval in multimodal fundus photographs.
PURPOSE Recent studies on diabetic retinopathy (DR) screening in fundus photographs suggest that disagreements between algorithms and clinicians are now comparable to disagreements among clinicians. The purpose of this study is to (1) determine whether this observation also holds for automated DR severity assessment algorithms, and (2) show the interest of such algorithms in clinical practice. ...
متن کاملAssessment of automated screening for treatment-requiring diabetic retinopathy.
PURPOSE To evaluate fundus photographic image analysis combining automated detection of red lesions, bright lesions, and image quality as a means of identifying treatment-requiring diabetic retinopathy in a screening population of diabetic patients. METHODS This was a retrospective cross-sectional study of 106 patients from a diabetic retinopathy screening clinic referred for photocoagulation...
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ژورنال
عنوان ژورنال: Ophthalmology
سال: 2017
ISSN: 0161-6420
DOI: 10.1016/j.ophtha.2016.11.014