loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Bálint Antal ; István Lázár and András Hajdu

Affiliation: University of Debrecen, Hungary

Keyword(s): Biomedical image processing, Image classification, Pattern recognition, Medical decision-making, Statistics.

Related Ontology Subjects/Areas/Topics: Design and Implementation of Signal Processing Systems ; Image and Video Processing, Compression and Segmentation ; Multimedia ; Multimedia Signal Processing ; Multimedia Systems and Applications ; Neural Networks, Spiking Systems, Genetic Algorithms and Fuzzy Logic ; Telecommunications

Abstract: In this paper, we present a novel approach to improve microaneurysm candidate extraction in color fundus images. The individual algorithms published so far can be hardly considered in an automatic screening system. To improve further the sensitivity, specificity and image classification rate of microaneurysm detection, we propose an appropriate combination of individual algorithms. Thus, we investigate the detection of microaneurysms through the following phases: first, we use different approaches to extract microaneurysm candidates. Then, we select candidates voted by a sufficient number of the candidate extractor algorithms. The optimal number of votes and participating algorithms are determined by a simulated annealing algorithm. Finally, we classify the candidates with a machine-learning based approach by following the current literature recommendations. Our framework improves the positive likelihood ratio for the microaneurysms and outperforms both the state-of-the-art individua l candidate extractors and microaneurysm detectors in these terms. (More)

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 3.81.144.39

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Antal, B.; Lázár, I. and Hajdu, A. (2010). AN OPTIMAL VOTING SCHEME FOR MICROANEURYSM CANDIDATE EXTRACTORS USING SIMULATED ANNEALING. In Proceedings of the International Conference on Signal Processing and Multimedia Applications (ICETE 2010) - SIGMAP; ISBN 978-989-8425-19-5, SciTePress, pages 80-87. DOI: 10.5220/0002988000800087

@conference{sigmap10,
author={Bálint Antal. and István Lázár. and András Hajdu.},
title={AN OPTIMAL VOTING SCHEME FOR MICROANEURYSM CANDIDATE EXTRACTORS USING SIMULATED ANNEALING},
booktitle={Proceedings of the International Conference on Signal Processing and Multimedia Applications (ICETE 2010) - SIGMAP},
year={2010},
pages={80-87},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002988000800087},
isbn={978-989-8425-19-5},
}

TY - CONF

JO - Proceedings of the International Conference on Signal Processing and Multimedia Applications (ICETE 2010) - SIGMAP
TI - AN OPTIMAL VOTING SCHEME FOR MICROANEURYSM CANDIDATE EXTRACTORS USING SIMULATED ANNEALING
SN - 978-989-8425-19-5
AU - Antal, B.
AU - Lázár, I.
AU - Hajdu, A.
PY - 2010
SP - 80
EP - 87
DO - 10.5220/0002988000800087
PB - SciTePress