4 documents found, page 1 of 1
Quality evaluation of digital fundus images through combined measures
Veiga, Diana; Pereira, Carla; Ferreira, Manuel João Oliveira; Gonçalves, Luís; Monteiro, João L.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 quality is presented. The method starts with the detection ...
Using a multi-agent system approach for microaneurysm detection in fundus images
Pereira, Carla; Veiga, Diana; Mahdjoub, Jason; Guessoum, Zahia; Gonçalves, Luís; Ferreira, Manuel João Oliveira; Monteiro, João L.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, based on a multi-agent system model, for microaneurysm s...
Focus evaluation approach for retinal images
Veiga, Diana; Pereira, Carla; Ferreira, Manuel João Oliveira; Gonçalves, Luís; Monteiro, João L.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 image quality. This paper describes a method that autom...
Small red lesions detection using a MAS approach
Pereira, Carla; Veiga, Diana; Mahdjoub, Jason; Guessoum, Zahia; Gonçalves, Luís; Ferreira, Manuel João Oliveira; Monteiro, João L.Microaneurysms are the diabetic retinopathy rst sign and its early detection is crucial for blindness prevention. Several approaches can be found in literature for the automatic microaneurysm segmentation, but none of them has shown the required performance. In this study, a new approach is proposed based on an organization of agents enabling microaneurysms segmentation. This multiagent model is preceded by a p...