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In the framework of computer assisted diagnosis of diabetic retinopathy, a new algorithm for detection of exudates is presented and discussed. The presence of exudates within the macular region is a main hallmark of diabetic macular edema and allows its detection with a high sensitivity. Hence, detection of exudates is an important diagnostic task, in which(More)
This paper addresses the automatic detection of microaneurysms in color fundus images, which plays a key role in computer assisted diagnosis of diabetic retinopathy, a serious and frequent eye disease. The algorithm can be divided into four steps. The first step consists in image enhancement, shade correction and image normalization of the green channel.(More)
The automatic detection of exudates in color eye fundus images is an important task in applications such as diabetic retinopathy screening. The presented work has been undertaken in the framework of the TeleOphta project, whose main objective is to automatically detect normal exams in a tele-ophthalmology network, thus reducing the burden on the readers. A(More)
Purpose To compare performance of a deep-learning enhanced algorithm for automated detection of diabetic retinopathy (DR), to the previously published performance of that algorithm, the Iowa Detection Program (IDP)-without deep learning components-on the same publicly available set of fundus images and previously reported consensus reference standard set,(More)
With the increased prevalence of retinal pathologies, automating the detection of these pathologies is becoming more and more relevant. In the past few years, many algorithms have been developed for the automated detection of a specific pathology, typically diabetic retinopathy, using eye fundus photography. No matter how good these algorithms are, we(More)
PURPOSE To correlate retinal function with vascular response to flicker light in normotensive patients with diabetes without diabetic retinopathy (DR). METHODS Twenty-eight normotensive patients with diabetes (11 with type 1, 17 with type 2) without DR and 28 sex- and age-matched healthy control subjects underwent color vision and contrast sensitivity(More)
A novel multiple-instance learning framework, for automated image classification, is presented in this paper. Given reference images marked by clinicians as relevant or irrelevant, the image classifier is trained to detect patterns, of arbitrary size, that only appear in relevant images. After training, similar patterns are sought in new images in order to(More)
PURPOSE To develop a population model capable of describing the profile of the effect of intravitreal triamcinolone acetonide in the treatment of diabetic diffuse macular edema. METHODS The results of 51 injections in 37 eyes (33 patients) with diffuse diabetic macular edema were studied, by using population pharmacokinetic-pharmacodynamic modeling,(More)
AIMS To compare the retinal sensitivity and frequency of microscotomas found by spectral domain optical coherence tomography (SD-OCT) combined with scanning laser ophthalmoscopy (SLO) microperimetry after idiopathic macular hole closure, in eyes that underwent internal limiting membrane (ILM) peeling and eyes that did not. METHODS This was a(More)
PURPOSE To assess the thickness of the ganglion cell-inner plexiform layer (GCIPL) in eyes with resolved diabetic macular edema (DME), using spectral-domain optical coherence tomography (SD-OCT), and its relationship with the visual function. METHODS This retrospective observational case-control cohort study included eyes of diabetic patients with(More)