A multiscale decomposition approach to detect abnormal vasculature in the optic disc
Descripción del Articulo
This paper presents a multiscale method to detect neovascularization in the optic disc (NVD) using fundus images. Our method is applied to a manually selected region of interest (ROI) containing the optic disc. All the vessels in the ROI are segmented by adaptively combining contrast enhancement met...
Autores: | , , , , , , |
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Formato: | artículo |
Fecha de Publicación: | 2015 |
Institución: | Universidad de Ingeniería y tecnología |
Repositorio: | UTEC-Institucional |
Lenguaje: | inglés |
OAI Identifier: | oai:repositorio.utec.edu.pe:20.500.12815/37 |
Enlace del recurso: | https://hdl.handle.net/20.500.12815/37 https://doi.org/10.1016/j.compmedimag.2015.01.001 |
Nivel de acceso: | acceso abierto |
Materia: | Amplitude-modulation frequency-modulation Diabetic retinopathy Fractal dimension Granulometry Neovascularization |
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dc.title.es_PE.fl_str_mv |
A multiscale decomposition approach to detect abnormal vasculature in the optic disc |
title |
A multiscale decomposition approach to detect abnormal vasculature in the optic disc |
spellingShingle |
A multiscale decomposition approach to detect abnormal vasculature in the optic disc Agurto, Carla Amplitude-modulation frequency-modulation Diabetic retinopathy Fractal dimension Granulometry Neovascularization |
title_short |
A multiscale decomposition approach to detect abnormal vasculature in the optic disc |
title_full |
A multiscale decomposition approach to detect abnormal vasculature in the optic disc |
title_fullStr |
A multiscale decomposition approach to detect abnormal vasculature in the optic disc |
title_full_unstemmed |
A multiscale decomposition approach to detect abnormal vasculature in the optic disc |
title_sort |
A multiscale decomposition approach to detect abnormal vasculature in the optic disc |
author |
Agurto, Carla |
author_facet |
Agurto, Carla Yub, Honggang Murray, Victor Pattichis, Marios Nemeth, Sheila Barriga, Simon Soliz, Peter |
author_role |
author |
author2 |
Yub, Honggang Murray, Victor Pattichis, Marios Nemeth, Sheila Barriga, Simon Soliz, Peter |
author2_role |
author author author author author author |
dc.contributor.author.fl_str_mv |
Agurto, Carla Yub, Honggang Murray, Victor Pattichis, Marios Nemeth, Sheila Barriga, Simon Soliz, Peter |
dc.subject.es_PE.fl_str_mv |
Amplitude-modulation frequency-modulation Diabetic retinopathy Fractal dimension Granulometry Neovascularization |
topic |
Amplitude-modulation frequency-modulation Diabetic retinopathy Fractal dimension Granulometry Neovascularization |
description |
This paper presents a multiscale method to detect neovascularization in the optic disc (NVD) using fundus images. Our method is applied to a manually selected region of interest (ROI) containing the optic disc. All the vessels in the ROI are segmented by adaptively combining contrast enhancement methods with a vessel segmentation technique. Textural features extracted using multiscale amplitude-modulation frequency-modulation, morphological granulometry, and fractal dimension are used. A linear SVM is used to perform the classification, which is tested by means of 10-fold cross-validation. The performance is evaluated using 300 images achieving an AUC of 0.93 with maximum accuracy of 88%. |
publishDate |
2015 |
dc.date.accessioned.none.fl_str_mv |
2017-11-07T05:20:03Z |
dc.date.available.none.fl_str_mv |
2017-11-07T05:20:03Z |
dc.date.issued.fl_str_mv |
2015-07-01 |
dc.type.es_PE.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
dc.identifier.issn.es_PE.fl_str_mv |
0895-6111 |
dc.identifier.uri.none.fl_str_mv |
https://hdl.handle.net/20.500.12815/37 |
dc.identifier.doi.es_PE.fl_str_mv |
https://doi.org/10.1016/j.compmedimag.2015.01.001 |
dc.identifier.journal.es_PE.fl_str_mv |
Computerized Medical Imaging and Graphics |
identifier_str_mv |
0895-6111 Computerized Medical Imaging and Graphics |
url |
https://hdl.handle.net/20.500.12815/37 https://doi.org/10.1016/j.compmedimag.2015.01.001 |
dc.language.iso.es_PE.fl_str_mv |
eng |
language |
eng |
dc.rights.es_PE.fl_str_mv |
info:eu-repo/semantics/openAccess |
dc.rights.uri.*.fl_str_mv |
http://creativecommons.org/licenses/by-nc-nd/4.0/ |
eu_rights_str_mv |
openAccess |
rights_invalid_str_mv |
http://creativecommons.org/licenses/by-nc-nd/4.0/ |
dc.format.es_PE.fl_str_mv |
application/pdf |
dc.publisher.es_PE.fl_str_mv |
Elsevier |
dc.source.es_PE.fl_str_mv |
Repositorio Institucional UTEC Universidad de Ingeniería y Tecnología - UTEC |
dc.source.none.fl_str_mv |
reponame:UTEC-Institucional instname:Universidad de Ingeniería y tecnología instacron:UTEC |
instname_str |
Universidad de Ingeniería y tecnología |
instacron_str |
UTEC |
institution |
UTEC |
reponame_str |
UTEC-Institucional |
collection |
UTEC-Institucional |
bitstream.url.fl_str_mv |
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Agurto, CarlaYub, HonggangMurray, VictorPattichis, MariosNemeth, SheilaBarriga, SimonSoliz, Peter2017-11-07T05:20:03Z2017-11-07T05:20:03Z2015-07-010895-6111https://hdl.handle.net/20.500.12815/37https://doi.org/10.1016/j.compmedimag.2015.01.001Computerized Medical Imaging and GraphicsThis paper presents a multiscale method to detect neovascularization in the optic disc (NVD) using fundus images. Our method is applied to a manually selected region of interest (ROI) containing the optic disc. All the vessels in the ROI are segmented by adaptively combining contrast enhancement methods with a vessel segmentation technique. Textural features extracted using multiscale amplitude-modulation frequency-modulation, morphological granulometry, and fractal dimension are used. A linear SVM is used to perform the classification, which is tested by means of 10-fold cross-validation. 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La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).