• Publications
  • Influence
An Ensemble-Based System for Microaneurysm Detection and Diabetic Retinopathy Grading
  • B. Antal, A. Hajdu
  • Computer Science, Medicine
  • IEEE Transactions on Biomedical Engineering
  • 3 April 2012
Reliable microaneurysm detection in digital fundus images is still an open issue in medical image processing. We propose an ensemble-based framework to improve microaneurysm detection. Unlike theExpand
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Retinal Microaneurysm Detection Through Local Rotating Cross-Section Profile Analysis
  • I. Lázár, A. Hajdu
  • Computer Science, Medicine
  • IEEE Transactions on Medical Imaging
  • 1 February 2013
A method for the automatic detection of microaneurysms (MAs) in color retinal images is proposed in this paper. The recognition of MAs is an essential step in the diagnosis and grading of diabeticExpand
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Combining algorithms for automatic detection of optic disc and macula in fundus images
This paper proposes an efficient combination of algorithms for the automated localization of the optic disc and macula in retinal fundus images. There is in fact no reason to assume that a singleExpand
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Improving microaneurysm detection using an optimally selected subset of candidate extractors and preprocessing methods
In this paper, we present an approach to improve microaneurysm detection in digital color fundus images. Instead of following the standard process which considers preprocessing, candidate extractionExpand
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Automatic exudate detection by fusing multiple active contours and regionwise classification
In this paper, we propose a method for the automatic detection of exudates in digital fundus images. Our approach can be divided into three stages: candidate extraction, precise contour segmentationExpand
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  • 4
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An Eye Detection Algorithm Using Pixel to Edge Information
We present a new method for eyes localization on a face, based only on geometrical information. A face detector is applied first to detect the bounding box of the face, and the edge map is extracted.Expand
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An ensemble-based system for automatic screening of diabetic retinopathy
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 processingExpand
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Automatic detection of the optic disc using majority voting in a collection of optic disc detectors
This paper proposes an efficient method for locating the optic disc in retinal images automatically using majority voting scheme and data fusion. We show that instead of inventing a new algorithmExpand
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  • 3
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A novel eye detection algorithm utilizing edge-related geometrical information
A novel method for eye detection and eye center localization, based on geometrical information is described in this paper. First, a face detector is applied to detect the facial region, and the edgeExpand
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Automatic exudate detection with improved Naïve-bayes classifier
Nowadays diabetic retinopathy is one of the most common reasons of blindness in the world. Exudates are the primary sign of this disease so the proper detection of these lesions is an essential taskExpand
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