loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Hanan S. Alghamdi ; Lilian Tang and Yaochu Jin

Affiliation: University of Surrey, United Kingdom

Keyword(s): Ensemble Learning, Ant Colony Optimization, Diabetic Retinopathy, Ensemble Diversity.

Related Ontology Subjects/Areas/Topics: Applications and Services ; Computer Vision, Visualization and Computer Graphics ; Image and Video Analysis ; Medical Image Applications ; Segmentation and Grouping

Abstract: Ensemble Learning has been proved to be an effective solution to learning problems. Its success is mainly dependent on diversity. However, diversity is rarely evaluated and explicitly used to enhance the ensemble performance. Diabetic Retinopathy (DR) automatic detection is one of the important applications to support the health care services. In this research, some existing statistical diversity measures were utilized to optimize ensembles used to detect DR related signs. Ant Colony Optimization (ACO) algorithm is adopted to select the ensemble base models using various criteria. This paper evaluates several optimized and non-optimized ensemble structures used for vessel segmentation. The results demonstrate the necessity of adopting the ensemble learning and the advantage of ensemble optimization to support the DR related signs detection.

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 3.144.17.45

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:
S. Alghamdi, H.; Tang, L. and Jin, Y. (2015). Ensemble Learning Optimization for Diabetic Retinopathy Image Analysis. In Proceedings of the 10th International Conference on Computer Vision Theory and Applications (VISIGRAPP 2015) - Volume 2: VISAPP; ISBN 978-989-758-089-5; ISSN 2184-4321, SciTePress, pages 471-477. DOI: 10.5220/0005296604710477

@conference{visapp15,
author={Hanan {S. Alghamdi}. and Lilian Tang. and Yaochu Jin.},
title={Ensemble Learning Optimization for Diabetic Retinopathy Image Analysis},
booktitle={Proceedings of the 10th International Conference on Computer Vision Theory and Applications (VISIGRAPP 2015) - Volume 2: VISAPP},
year={2015},
pages={471-477},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005296604710477},
isbn={978-989-758-089-5},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 10th International Conference on Computer Vision Theory and Applications (VISIGRAPP 2015) - Volume 2: VISAPP
TI - Ensemble Learning Optimization for Diabetic Retinopathy Image Analysis
SN - 978-989-758-089-5
IS - 2184-4321
AU - S. Alghamdi, H.
AU - Tang, L.
AU - Jin, Y.
PY - 2015
SP - 471
EP - 477
DO - 10.5220/0005296604710477
PB - SciTePress

- Science and Technology Publications, Lda.
RESOURCES

Proceedings

Papers

Authors

Ontology

CONTACTS

Science and Technology Publications, Lda
Avenida de S. Francisco Xavier, Lote 7 Cv. C,
2900-616 Setúbal, Portugal.

Phone: +351 265 520 185 (National fixed network call)
Fax: +351 265 520 186
Email: info@scitepress.org

EXTERNAL LINKS

PRIMORIS

INSTICC

SCITEVENTS

CROSSREF

PROCEEDINGS SUBMITTED FOR INDEXATION BY:

dblp

Ei Compendex

SCOPUS

Semantic Scholar

Google Scholar

Microsoft Academic