M.M. Fraz
Ensemble Classification System Applied for Retinal Vessel Segmentation on Child Images Containing Various Vessel Profiles
Fraz, M.M.; Remagnino, P.; Hoppe, A.; Uyyanonvara, B.; Rudnicka, A.R.; Owen, C.G.; Barman, S.A.
Authors
Professor Paolo Remagnino paolo.remagnino@durham.ac.uk
Professor in Computer Science
A. Hoppe
B. Uyyanonvara
A.R. Rudnicka
C.G. Owen
S.A. Barman
Contributors
A Campilho
Editor
M Kamel
Editor
Citation
Fraz, M., Remagnino, P., Hoppe, A., Uyyanonvara, B., Rudnicka, A., Owen, C., & Barman, S. (2012). Ensemble Classification System Applied for Retinal Vessel Segmentation on Child Images Containing Various Vessel Profiles. In A. Campilho, & M. Kamel (Eds.),
Presentation Conference Type | Conference Paper (Published) |
---|---|
Conference Name | IMAGE ANALYSIS AND RECOGNITION, PT II Assoc Image \& Machine Intelligence (AIMI) |
Publication Date | 2012 |
Deposit Date | Sep 6, 2022 |
Volume | 7325 |
Pages | 380-389 |
Series Title | Lecture Notes in Computer Science |
Public URL | https://durham-repository.worktribe.com/output/1136100 |
You might also like
A model based approach for vessel caliber measurement in retinal images
(2012)
Presentation / Conference Contribution
Retinal image analysis aimed at extraction of vascular structure using linear discriminant classifier
(2013)
Presentation / Conference Contribution
Smart IoT Cameras for Crowd Analysis based on augmentation for automatic pedestrian detection, simulation and annotation
(2019)
Presentation / Conference Contribution
A Comparison of Embedded Deep Learning Methods for Person Detection
(2019)
Presentation / Conference Contribution
Accurate Deep Net Crowd Counting for Smart IoT Video acquisition devices
(2020)
Presentation / Conference Contribution
Downloadable Citations
About Durham Research Online (DRO)
Administrator e-mail: dro.admin@durham.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2024
Advanced Search