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Evaluation of fractal dimension effectiveness for damage detection in retinal background

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Evaluation of fractal dimension effectiveness for damage detection in retinal background

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Colomer, A.; Naranjo Ornedo, V.; Janvier, T.; Mossi García, JM. (2018). Evaluation of fractal dimension effectiveness for damage detection in retinal background. Journal of Computational and Applied Mathematics. 337:341-353. https://doi.org/10.1016/j.cam.2018.01.005

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/136880

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Title: Evaluation of fractal dimension effectiveness for damage detection in retinal background
Author:
UPV Unit: Universitat Politècnica de València. Departamento de Comunicaciones - Departament de Comunicacions
Issued date:
Embargo end date: 2020-08-31
Abstract:
[EN] This work investigates the characterization of bright lesions in retinal fundus images using texture analysis techniques. Exudates and drusen are evidences of retinal damage in diabetic retinopathy (DR) and age-related ...[+]
Subjects: Retinal fundus image , Fractal analysis , Diabetic retinopathy , Age-related macular degeneration , Local binary patterns
Copyrigths: Embargado
Source:
Journal of Computational and Applied Mathematics. (issn: 0377-0427 )
DOI: 10.1016/j.cam.2018.01.005
Publisher:
Elsevier
Publisher version: https://doi.org/10.1016/j.cam.2018.01.005
Project ID: info:eu-repo/grantAgreement/EC/H2020/732613/EU
Thanks:
This paper was supported by the European Union's Horizon 2020 research and innovation programme under the Project GALAHAD [H2020-ICT-2016-2017, 732613]. In addition, this work was partially funded by the Ministerio de ...[+]
Type: Artículo

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