Design of an Automatic System to Determine the Degree of Progression of Diabetic Retinopathy

Hernando González; Carlos Arizmendi; Jessica Aza

doi:10.1007/978-3-030-55187-2_4

Design of an Automatic System to Determine the Degree of Progression of Diabetic Retinopathy

Hernando González, Carlos Arizmendi, Jessica Aza

Ingeniería Mecatrónica

Resultado de la investigación: Libro / Capitulo del libro / Informe › Libros de Investigación › revisión exhaustiva

Resumen

This paper proposes an analysis and detection of diabetic retinopathy by using artificial vision technics, such as filtering, transforms, edge detection and segmentation on color fundus images to recognize and categorize microaneurysm, hemorrhages and exudates. The algorithms were validated with the DIARETDB database. Of the processed images are determined the descriptors for the design of two classifiers, the first based on vector support machines and the second with neural networks.

Idioma original	Inglés
Título de la publicación alojada	Intelligent Systems and Applications - Proceedings of the 2020 Intelligent Systems Conference IntelliSys Volume 2
Editores	Kohei Arai, Supriya Kapoor, Rahul Bhatia
Editorial	Springer
Páginas	35-44
Número de páginas	10
ISBN (versión impresa)	9783030551865
DOI	https://doi.org/10.1007/978-3-030-55187-2_4
Estado	Publicada - 2021
Evento	Intelligent Systems Conference, IntelliSys 2020 - London, Reino Unido Duración: 3 sep. 2020 → 4 sep. 2020

Serie de la publicación

Nombre	Advances in Intelligent Systems and Computing
Volumen	1251 AISC
ISSN (versión impresa)	2194-5357
ISSN (versión digital)	2194-5365

Conferencia

Conferencia	Intelligent Systems Conference, IntelliSys 2020
País/Territorio	Reino Unido
Ciudad	London
Período	3/09/20 → 4/09/20

ODS de las Naciones Unidas

Este resultado contribuye a los siguientes Objetivos de Desarrollo Sostenible

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10.1007/978-3-030-55187-2_4

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González, H., Arizmendi, C., & Aza, J. (2021). Design of an Automatic System to Determine the Degree of Progression of Diabetic Retinopathy. En K. Arai, S. Kapoor, & R. Bhatia (Eds.), Intelligent Systems and Applications - Proceedings of the 2020 Intelligent Systems Conference IntelliSys Volume 2 (pp. 35-44). (Advances in Intelligent Systems and Computing; Vol. 1251 AISC). Springer. https://doi.org/10.1007/978-3-030-55187-2_4

González, Hernando ; Arizmendi, Carlos ; Aza, Jessica. / Design of an Automatic System to Determine the Degree of Progression of Diabetic Retinopathy. Intelligent Systems and Applications - Proceedings of the 2020 Intelligent Systems Conference IntelliSys Volume 2. editor / Kohei Arai ; Supriya Kapoor ; Rahul Bhatia. Springer, 2021. pp. 35-44 (Advances in Intelligent Systems and Computing).

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title = "Design of an Automatic System to Determine the Degree of Progression of Diabetic Retinopathy",

abstract = "This paper proposes an analysis and detection of diabetic retinopathy by using artificial vision technics, such as filtering, transforms, edge detection and segmentation on color fundus images to recognize and categorize microaneurysm, hemorrhages and exudates. The algorithms were validated with the DIARETDB database. Of the processed images are determined the descriptors for the design of two classifiers, the first based on vector support machines and the second with neural networks.",

keywords = "Diabetic retionopathy, Exudates, Hemorrhages, Microaneurysm, Neural network, Support Vector Machine",

author = "Hernando Gonz{\'a}lez and Carlos Arizmendi and Jessica Aza",

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year = "2021",

doi = "10.1007/978-3-030-55187-2_4",

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González, H , Arizmendi, C & Aza, J 2021, Design of an Automatic System to Determine the Degree of Progression of Diabetic Retinopathy. En K Arai, S Kapoor & R Bhatia (eds.), Intelligent Systems and Applications - Proceedings of the 2020 Intelligent Systems Conference IntelliSys Volume 2. Advances in Intelligent Systems and Computing, vol. 1251 AISC, Springer, pp. 35-44, Intelligent Systems Conference, IntelliSys 2020, London, Reino Unido, 3/09/20. https://doi.org/10.1007/978-3-030-55187-2_4

Design of an Automatic System to Determine the Degree of Progression of Diabetic Retinopathy. / González, Hernando ; Arizmendi, Carlos; Aza, Jessica.

Intelligent Systems and Applications - Proceedings of the 2020 Intelligent Systems Conference IntelliSys Volume 2. ed. / Kohei Arai; Supriya Kapoor; Rahul Bhatia. Springer, 2021. p. 35-44 (Advances in Intelligent Systems and Computing; Vol. 1251 AISC).

Resultado de la investigación: Libro / Capitulo del libro / Informe › Libros de Investigación › revisión exhaustiva

TY - GEN

T1 - Design of an Automatic System to Determine the Degree of Progression of Diabetic Retinopathy

AU - González, Hernando

AU - Arizmendi, Carlos

AU - Aza, Jessica

PY - 2021

Y1 - 2021

N2 - This paper proposes an analysis and detection of diabetic retinopathy by using artificial vision technics, such as filtering, transforms, edge detection and segmentation on color fundus images to recognize and categorize microaneurysm, hemorrhages and exudates. The algorithms were validated with the DIARETDB database. Of the processed images are determined the descriptors for the design of two classifiers, the first based on vector support machines and the second with neural networks.

AB - This paper proposes an analysis and detection of diabetic retinopathy by using artificial vision technics, such as filtering, transforms, edge detection and segmentation on color fundus images to recognize and categorize microaneurysm, hemorrhages and exudates. The algorithms were validated with the DIARETDB database. Of the processed images are determined the descriptors for the design of two classifiers, the first based on vector support machines and the second with neural networks.

KW - Diabetic retionopathy

KW - Exudates

KW - Hemorrhages

KW - Microaneurysm

KW - Neural network

KW - Support Vector Machine

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U2 - 10.1007/978-3-030-55187-2_4

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M3 - Libros de Investigación

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T3 - Advances in Intelligent Systems and Computing

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BT - Intelligent Systems and Applications - Proceedings of the 2020 Intelligent Systems Conference IntelliSys Volume 2

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González H , Arizmendi C, Aza J. Design of an Automatic System to Determine the Degree of Progression of Diabetic Retinopathy. En Arai K, Kapoor S, Bhatia R, editores, Intelligent Systems and Applications - Proceedings of the 2020 Intelligent Systems Conference IntelliSys Volume 2. Springer. 2021. p. 35-44. (Advances in Intelligent Systems and Computing). doi: 10.1007/978-3-030-55187-2_4

Design of an Automatic System to Determine the Degree of Progression of Diabetic Retinopathy

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