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Diabetic retinopathy has been revealed as the most common cause of blindness among people of working age in developed countries. However, loss of vision could be prevented by an early detection of the disease and, therefore, by a regular screening program to detect retinopathy. Due to its characteristics, the digital color fundus photographs have been the(More)
OBJECTIVE Microaneurysms represent the first sign of diabetic retinopathy, and their detection is fundamental for the prevention of vision impairment. Despite several research attempts to develop an automated system to detect microaneurysms in fundus images, none has shown the level of performance required for clinical practice. We propose a new approach,(More)
—Diabetic retinopathy has been revealed as the most common cause of blindness among people of working age. For monitoring the pathology image registration algorithms applied to retinal images is very useful. In this work, a novel vessel-based retinal image registration approach is proposed. The segmentation of the vasculature is performed by a multi-agent(More)
The leading cause of new blindness and vision defects in working-age people, diabetic ret-inopathy is a serious public health problem in developed countries. Automatic identification of diabetic retinopathy lesions, such as exudates, in fundus images can contribute to early diagnosis. Currently, many studies in the literature have reported on segmenting(More)
The evaluation of image quality is an important step before an automatic analysis of retinal images. Several conditions can impair the acquisition of a good image, and minimum image quality requirements should be present to ensure that an automatic or semiautomatic system provides an accurate diagnosis. A method to classify fundus images as low or good(More)
The segmentation of retinal vasculature by color fundus images analysis is crucial for several medical diagnostic systems, such as the diabetic retinopathy early diagnosis. Several interesting approaches have been done in this field but the obtained results need to be improved. We propose therefore a new approach based on an organization of agents. This(More)
Digital fundus photographs are often used to provide clinical diagnostic information about several pathologies such as diabetes, glaucoma, macular degeneration and vascular and neurologic disorders. To allow a precise analysis, digital fundus image quality should be assessed to evaluate if minimum requirements are present. Focus is one of the causes of low(More)
Diabetic retinopathy has been revealed as the most common cause of blindness among people of working age. The colour fundus images have been the easiest way to analyse the eye fundus and prevent the progression of this ocular disease. An important prerequisite for automation is the segmentation of the main anatomical features in the image, particularly the(More)
Diabetic retinopathy has been revealed as the most common cause of blindness in developed countries. The colour fundus images have been the easiest way to analyse the eye fundus and prevent the progression of this ocular disease. An important prerequisite for automation is the segmentation of the main anatomical features in the image, particularly the optic(More)