loading
Documents

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Dário A. B. Oliveira 1 ; Marley M. B. R. Vellasco 1 ; Mariana M. B. Oliveira 2 and Riuitiro Yamane 2

Affiliations: 1 Pontifical Catholic University of Rio de Janeiro, Brazil ; 2 Rio de Janeiro State University, Brazil

ISBN: 978-989-8111-65-4

Keyword(s): Neural Networks, Glaucoma, Computer Aided Diagnosis, Multi-Layer Perceptron.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Biomedical Engineering ; Biomedical Signal Processing ; Computational Intelligence ; Data Manipulation ; Health Engineering and Technology Applications ; Human-Computer Interaction ; Methodologies and Methods ; Neural Networks ; Neurocomputing ; Neurotechnology, Electronics and Informatics ; Pattern Recognition ; Physiological Computing Systems ; Sensor Networks ; Signal Processing ; Soft Computing ; Theory and Methods

Abstract: Glaucoma is an ophthalmologic disease very difficult to diagnose in the earlier phase. Additionally, exams and methods used to give reliable information for correct diagnosis are usually very expensive. Therefore, other methods less expensive and also reliable must be proposed as an auxiliary tool to Glaucoma diagnosis. This paper analyzes the performance of neural networks as an auxiliary tool for the diagnosis of patients with glaucoma, avoiding the use of data only available in expensive exams. The analysis considers two different kinds of neural networks (Multi-Layer Perceptron (MLP) and Probabilistic Neural Networks (PNN)) and two different methods variable selection: a random and iterative method; and the Least Square Extrapolation (LSE) method. The paper also evaluates the benefits of applying principal components analysis (PCA) to the database. The results obtained were very good, attaining an accuracy of more than 90% of correct classification of all cases present in our data base. It confirms the real possibility of using neural networks as an auxiliary and inexpensive tool to help in Glaucoma diagnosis. (More)

PDF ImageFull Text

Download
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 18.207.136.184

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:
A. B. Oliveira D.; M. B. R. Vellasco M.; M. B. Oliveira M.; Yamane R. and (2009). APPLICATION OF NEURAL NETWORKS IN AID FOR DIAGNOSIS FOR PATIENTS WITH GLAUCOMA.In Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2009) ISBN 978-989-8111-65-4, pages 139-145. DOI: 10.5220/0001547401390145

@conference{biosignals09,
author={Dário {A. B. Oliveira} and Marley {M. B. R. Vellasco} and Mariana {M. B. Oliveira} and Riuitiro Yamane},
title={APPLICATION OF NEURAL NETWORKS IN AID FOR DIAGNOSIS FOR PATIENTS WITH GLAUCOMA},
booktitle={Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2009)},
year={2009},
pages={139-145},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001547401390145},
isbn={978-989-8111-65-4},
}

TY - CONF

JO - Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2009)
TI - APPLICATION OF NEURAL NETWORKS IN AID FOR DIAGNOSIS FOR PATIENTS WITH GLAUCOMA
SN - 978-989-8111-65-4
AU - A. B. Oliveira, D.
AU - M. B. R. Vellasco, M.
AU - M. B. Oliveira, M.
AU - Yamane, R.
PY - 2009
SP - 139
EP - 145
DO - 10.5220/0001547401390145

Login or register to post comments.

Comments on this Paper: Be the first to review this paper.