most citedAn Ensemble-based System for Microaneurysm Detection and Diabetic Retinopathy Grading

341 citations · 617 across the 6 of their papers we have counts for

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cs.CV2016

Automatic 3D Point Set Reconstruction from Stereo Laparoscopic Images using Deep Neural Networks

Balint Antal

In this paper, an automatic approach to predict 3D coordinates from stereo laparoscopic images is presented. The approach maps a vector of pixel intensities to 3D coordinates throu…

cs.CV2014★ 8 cited

A Two-phase Decision Support Framework for the Automatic Screening of Digital Fundus Images

Balint Antal, Andras Hajdu, Zsuzsanna Maros-Szabo +3

In this paper we give a brief review on the present status of automated detection systems describe for the screening of diabetic retinopathy. We further detail an enhanced detectio…

cs.CV2014★ 341 cited

An Ensemble-based System for Microaneurysm Detection and Diabetic Retinopathy Grading

Balint Antal, Andras Hajdu

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 detect…

cs.CV2014★ 263 cited

An ensemble-based system for automatic screening of diabetic retinopathy

Balint Antal, Andras Hajdu

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…

cs.CV2014★ 2 cited

An Unsupervised Ensemble-based Markov Random Field Approach to Microscope Cell Image Segmentation

Balint Antal, Bence Remenyik, Andras Hajdu

In this paper, we propose an approach to the unsupervised segmentation of images using Markov Random Field. The proposed approach is based on the idea of Bit Plane Slicing. We use…