- -

Detection of Early Signs of Diabetic Retinopathy Based on Textural and Morphological Information in Fundus Images

RiuNet: Institutional repository of the Polithecnic University of Valencia

Share/Send to

Cited by

Statistics

Detection of Early Signs of Diabetic Retinopathy Based on Textural and Morphological Information in Fundus Images

Show full item record

Colomer, A.; Igual García, J.; Naranjo Ornedo, V. (2020). Detection of Early Signs of Diabetic Retinopathy Based on Textural and Morphological Information in Fundus Images. Sensors. 20(4):1-20. https://doi.org/10.3390/s20041005

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/171678

Files in this item

Item Metadata

Title: Detection of Early Signs of Diabetic Retinopathy Based on Textural and Morphological Information in Fundus Images
Author: Colomer, Adrián Igual García, Jorge Naranjo Ornedo, Valeriana
UPV Unit: Universitat Politècnica de València. Departamento de Comunicaciones - Departament de Comunicacions
Issued date:
Abstract:
[EN] Estimated blind people in the world will exceed 40 million by 2025. To develop novel algorithms based on fundus image descriptors that allow the automatic classification of retinal tissue into healthy and pathological ...[+]
Subjects: Biomedical image processing , Diabetic retinopathy , Classification , Granulometry-based descriptor , LBP , Hand-driven learning , Exudates , Microaneurysms
Copyrigths: Reconocimiento (by)
Source:
Sensors. (eissn: 1424-8220 )
DOI: 10.3390/s20041005
Publisher:
MDPI AG
Publisher version: https://doi.org/10.3390/s20041005
Project ID:
AGENCIA ESTATAL DE INVESTIGACION/DPI2016-77869-C2-1-R
GENERALITAT VALENCIANA/PROMETEO/2019/109
Thanks:
This work has been partially supported by the Spanish Ministry of Economy and Competitiveness through project DPI2016-77869 and GVA through project PROMETEO/2019/109
Type: Artículo

recommendations

 

This item appears in the following Collection(s)

Show full item record