Many ophthalmologists find it difficult to distinguish between small retinal hemorrhages and dust artifacts when using fundus photography for the diagnosis of diabetic retinopathy. Six patients with diabetic retinopathy underwent fundus photography, which revealed dust artifacts in the photographs of some patients. We constructed an experimental device similar to the optical system of the fundus camera and colored the fundi of the artificial eyes with khaki, sunset, rose and sunflower colors. Using the experimental device, we photographed dust artifacts using each artificial eyes. We used Scilab 5.4.0 and SIVP 0.5.3 softwares to convert the red, green, and blue (RGB) color space to the hue, saturation, and value (HSV) color space. We calcul...
Medical image analysis is a challenging task that attracts intensive research interest in recent yea...
Retinal photography is an adjunct to ophthalmoscopy in screening for diabetic retinopathy (DR). Digi...
Diabetic Retinopathy (DR) is a disease that affects up to 80% of diabetics around the world. It is t...
To distinguish small retinal hemorrhages in early diabetic retinopathy from dust artifacts, we analy...
PURPOSE. To compare a fundus image-analysis algorithm for automated detection of hemorrhages and mic...
Determination of the optimal color space from eight types of color spaces for distinguishing small r...
ABSTRACT: Image processing of a fundus image is performed for the early recognition of diabetic reti...
Diabetic retinopathy is one of the leading causes of visual impairment and blindness in the world an...
Objective: To study the effectiveness of two digital 50degrees photographic fields per eye, stored c...
purpose. To describe and evaluate a machine learning-based, automated system to detect exudates and ...
Diabetic Retinopathy is the disease caused for diabetic people which doesn’t have symptoms in the fi...
Diabetic retinopathy (DR) is the damage to the retina and is a complication that can affect diabetes...
Here we address the detection of Hemorrhages and microaneurysms in color fundus images. In pre-Proce...
We compared digital retinal images and 35 mm colour transparencies taken with the Canon CR5 retinal ...
International audienceMany eye fundus images present strong variations of contrast which can be a li...
Medical image analysis is a challenging task that attracts intensive research interest in recent yea...
Retinal photography is an adjunct to ophthalmoscopy in screening for diabetic retinopathy (DR). Digi...
Diabetic Retinopathy (DR) is a disease that affects up to 80% of diabetics around the world. It is t...
To distinguish small retinal hemorrhages in early diabetic retinopathy from dust artifacts, we analy...
PURPOSE. To compare a fundus image-analysis algorithm for automated detection of hemorrhages and mic...
Determination of the optimal color space from eight types of color spaces for distinguishing small r...
ABSTRACT: Image processing of a fundus image is performed for the early recognition of diabetic reti...
Diabetic retinopathy is one of the leading causes of visual impairment and blindness in the world an...
Objective: To study the effectiveness of two digital 50degrees photographic fields per eye, stored c...
purpose. To describe and evaluate a machine learning-based, automated system to detect exudates and ...
Diabetic Retinopathy is the disease caused for diabetic people which doesn’t have symptoms in the fi...
Diabetic retinopathy (DR) is the damage to the retina and is a complication that can affect diabetes...
Here we address the detection of Hemorrhages and microaneurysms in color fundus images. In pre-Proce...
We compared digital retinal images and 35 mm colour transparencies taken with the Canon CR5 retinal ...
International audienceMany eye fundus images present strong variations of contrast which can be a li...
Medical image analysis is a challenging task that attracts intensive research interest in recent yea...
Retinal photography is an adjunct to ophthalmoscopy in screening for diabetic retinopathy (DR). Digi...
Diabetic Retinopathy (DR) is a disease that affects up to 80% of diabetics around the world. It is t...