Automatic Diabetic Retinopathy Grading System Based on Detecting Multiple Retinal Lesions
نویسندگان
چکیده
منابع مشابه
Ophthalmoscopy versus fundus photographs for detecting and grading diabetic retinopathy.
Reported here is the agreement between three examination methods chosen to detect and grade diabetic retinopathy in 124 subjects with type II (noninsulin-dependent) diabetes mellitus. These three examination methods include ophthalmoscopy (indirect and direct) by a retina specialist, seven standard field fundus photographs read by the same retina specialist, and the same photographs read by a t...
متن کاملMonoscopic versus stereoscopic retinal photography for grading diabetic retinopathy severity.
PURPOSE To assess agreement between monoscopic and stereoscopic photography for research classification of the severity of diabetic retinopathy (DR). METHODS Monoscopic digital (MD) images were compared with stereo digital (SD) and film (SF) photographs from a 152-eye cohort with full-spectrum Early Treatment Diabetic Retinopathy Study (ETDRS) severity levels for agreement on severity level, ...
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The human eye is an organ that reacts to light and has several purposes. As a sense organ, the human eye allows vision. The retina is a light-sensitive layer at the back of the eye that covers about 65% of its interior surface. Rodand cone cells in the retina allow conscious light perception and vision including colour differentiation and the perception of depth. A disease called diabetic retin...
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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 imagelevel (quality assessment, pre-screening, AM/FM), lesion-specific (microaneurysms, exudates) and anatomical (macula, optic disc) components. The actual decision about the pres...
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Advances in medical device technology have resulted in a plethora of devices that sense, record, transform and process digital data. Images are a key form of diagnostic data, and many devices have been designed and deployed that capture high-resolution in-vivo images in different parts of the spectrum. Computers have enabled complex forms of reconstruction of cross-sectional/ 3D structure (and ...
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ژورنال
عنوان ژورنال: IEEE Access
سال: 2021
ISSN: 2169-3536
DOI: 10.1109/access.2021.3052870