loading
Documents

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Enkelejda Kasneci 1 ; Gjergji Kasneci 2 ; Ulrich Schiefer 1 and Wolfgang Rosenstiel 1

Affiliations: 1 University of Tübingen, Germany ; 2 Hasso-Plattner-Institute, Germany

ISBN: 978-989-758-010-9

Keyword(s): Scotoma, Rule-based, Classification, Visual Field, Defect.

Related Ontology Subjects/Areas/Topics: Biomedical Engineering ; Clinical Problems and Applications ; Decision Support Systems ; Development of Assistive Technology ; Health Information Systems ; Pattern Recognition and Machine Learning

Abstract: The automated recognition of the visual field defect type from results of visual field testing is crucial for the adequate diagnosis and treatment of the underlying disease of the visual system. This paper presents a reliable rule-based classifier that emulates the decision strategies of expert ophthalmologists based on a two-level approach that combines methods of unsupervised learning.

PDF ImageFull Text

Download
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 54.81.158.195

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:
Kasneci E., Kasneci G., Schiefer U. and Rosenstiel W. (2014). Rule-based Classification of Visual Field Defects.In Proceedings of the International Conference on Health Informatics - Volume 1: HEALTHINF, (BIOSTEC 2014) ISBN 978-989-758-010-9, pages 34-42. DOI: 10.5220/0004746200340042

@conference{healthinf14,
author={Enkelejda Kasneci and Gjergji Kasneci and Ulrich Schiefer and Wolfgang Rosenstiel},
title={Rule-based Classification of Visual Field Defects},
booktitle={Proceedings of the International Conference on Health Informatics - Volume 1: HEALTHINF, (BIOSTEC 2014)},
year={2014},
pages={34-42},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004746200340042},
isbn={978-989-758-010-9},
}

TY - CONF

JO - Proceedings of the International Conference on Health Informatics - Volume 1: HEALTHINF, (BIOSTEC 2014)
TI - Rule-based Classification of Visual Field Defects
SN - 978-989-758-010-9
AU - Kasneci E.
AU - Kasneci G.
AU - Schiefer U.
AU - Rosenstiel W.
PY - 2014
SP - 34
EP - 42
DO - 10.5220/0004746200340042

Login or register to post comments.

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