Estrategia para la detección de tipos de enfermedades oculares usando red neuronal SOM

Huarote Zegarra Raúl Eduardo; Vega Luján Yensi; Flores Masías Edward José; Cesar Raul Cuba Aguilar; Katherine Susan Llanos Chacaltana; Larios Franco Alfredo Cesar; Diaz Reategui Monica

doi:10.18687/LACCEI2022.1.1.578

Estrategia para la detección de tipos de enfermedades oculares usando red neuronal SOM

Translated title of the contribution: Strategy for the detection of types of eye diseases using SOM neural network

Huarote Zegarra Raúl Eduardo, Vega Luján Yensi, Flores Masías Edward José, Cesar Raul Cuba Aguilar, Katherine Susan Llanos Chacaltana, Larios Franco Alfredo Cesar, Diaz Reategui Monica

Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

This research aims to cover a need to be able to classify according to the funds of eyes in diabetic retinopathy disease, how to convert to gray tone, perform an equalization, apply the canny edge highlighting algorithm and apply morphological operations so that a SOM (self-organization map) neural network can be entered and classified. To achieve this, it is classified as 0 to diabetic retinopathy, 1 to glaucoma and 3 to healthy eyes. To corroborate this strategy, a public database of Fundus-images has been taken, being 45 images of eyes for training and for tests 15 images that were not part of the training were used and for the tests 3 images that were not part of the training were used and each grayscale image is scaled to a dimension of 256x256 pixels, managing to demonstrate with this strategy an affectivity of 93.7% certainty in the identification of class of eye disease.

Translated title of the contribution	Strategy for the detection of types of eye diseases using SOM neural network
Original language	Spanish
Title of host publication	20th LACCEI International Multi-Conference for Engineering, Education Caribbean Conference for Engineering and Technology
Subtitle of host publication	"Education, Research and Leadership in Post-Pandemic Engineering: Resilient Inclusive and Sustainable Actions", LACCEI 2022
Editors	Maria M. Larrondo Petrie, Jose Texier, Andrea Pena, Jose Angel Sanchez Viloria
ISBN (Electronic)	9786289520705
DOIs	https://doi.org/10.18687/LACCEI2022.1.1.578
State	Published - 2022
Event	20th LACCEI International Multi-Conference for Engineering, Education Caribbean Conference for Engineering and Technology, LACCEI 2022 - Boca Raton, United States Duration: 18 Jul 2022 → 22 Jul 2022

Publication series

Name	Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology
Volume	2022-July
ISSN (Electronic)	2414-6390

Conference

Conference	20th LACCEI International Multi-Conference for Engineering, Education Caribbean Conference for Engineering and Technology, LACCEI 2022
Country/Territory	United States
City	Boca Raton
Period	18/07/22 → 22/07/22

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.18687/LACCEI2022.1.1.578

Cite this

Eduardo, H. Z. R., Yensi, V. L., José, F. M. E., Aguilar, C. R. C., Chacaltana, K. S. L., Cesar, L. F. A., & Monica, D. R. (2022). Estrategia para la detección de tipos de enfermedades oculares usando red neuronal SOM. In M. M. Larrondo Petrie, J. Texier, A. Pena, & J. A. S. Viloria (Eds.), 20th LACCEI International Multi-Conference for Engineering, Education Caribbean Conference for Engineering and Technology: "Education, Research and Leadership in Post-Pandemic Engineering: Resilient Inclusive and Sustainable Actions", LACCEI 2022 (Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology; Vol. 2022-July). https://doi.org/10.18687/LACCEI2022.1.1.578

Eduardo, Huarote Zegarra Raúl ; Yensi, Vega Luján ; José, Flores Masías Edward et al. / Estrategia para la detección de tipos de enfermedades oculares usando red neuronal SOM. 20th LACCEI International Multi-Conference for Engineering, Education Caribbean Conference for Engineering and Technology: "Education, Research and Leadership in Post-Pandemic Engineering: Resilient Inclusive and Sustainable Actions", LACCEI 2022. editor / Maria M. Larrondo Petrie ; Jose Texier ; Andrea Pena ; Jose Angel Sanchez Viloria. 2022. (Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology).

@inproceedings{eda4311f466843bda65f00ce4df86e65,

title = "Estrategia para la detecci{\'o}n de tipos de enfermedades oculares usando red neuronal SOM",

abstract = "This research aims to cover a need to be able to classify according to the funds of eyes in diabetic retinopathy disease, how to convert to gray tone, perform an equalization, apply the canny edge highlighting algorithm and apply morphological operations so that a SOM (self-organization map) neural network can be entered and classified. To achieve this, it is classified as 0 to diabetic retinopathy, 1 to glaucoma and 3 to healthy eyes. To corroborate this strategy, a public database of Fundus-images has been taken, being 45 images of eyes for training and for tests 15 images that were not part of the training were used and for the tests 3 images that were not part of the training were used and each grayscale image is scaled to a dimension of 256x256 pixels, managing to demonstrate with this strategy an affectivity of 93.7% certainty in the identification of class of eye disease.",

keywords = "diabetic retinopathy, diabeticretinopathy, eyes, eyes, glaucoma, glaucoma, SOM neural network, SOM neural network, Strategy, Strategy",

author = "Eduardo, {Huarote Zegarra Ra{\'u}l} and Yensi, {Vega Luj{\'a}n} and Jos{\'e}, {Flores Mas{\'i}as Edward} and Aguilar, {Cesar Raul Cuba} and Chacaltana, {Katherine Susan Llanos} and Cesar, {Larios Franco Alfredo} and Monica, {Diaz Reategui}",

note = "Publisher Copyright: {\textcopyright} 2022 Latin American and Caribbean Consortium of Engineering Institutions. All rights reserved.; 20th LACCEI International Multi-Conference for Engineering, Education Caribbean Conference for Engineering and Technology, LACCEI 2022 ; Conference date: 18-07-2022 Through 22-07-2022",

year = "2022",

doi = "10.18687/LACCEI2022.1.1.578",

language = "Espa{\~n}ol",

series = "Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology",

editor = "{Larrondo Petrie}, {Maria M.} and Jose Texier and Andrea Pena and Viloria, {Jose Angel Sanchez}",

booktitle = "20th LACCEI International Multi-Conference for Engineering, Education Caribbean Conference for Engineering and Technology",

}

Eduardo, HZR, Yensi, VL, José, FME, Aguilar, CRC, Chacaltana, KSL, Cesar, LFA & Monica, DR 2022, Estrategia para la detección de tipos de enfermedades oculares usando red neuronal SOM. in MM Larrondo Petrie, J Texier, A Pena & JAS Viloria (eds), 20th LACCEI International Multi-Conference for Engineering, Education Caribbean Conference for Engineering and Technology: "Education, Research and Leadership in Post-Pandemic Engineering: Resilient Inclusive and Sustainable Actions", LACCEI 2022. Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology, vol. 2022-July, 20th LACCEI International Multi-Conference for Engineering, Education Caribbean Conference for Engineering and Technology, LACCEI 2022, Boca Raton, United States, 18/07/22. https://doi.org/10.18687/LACCEI2022.1.1.578

Estrategia para la detección de tipos de enfermedades oculares usando red neuronal SOM. / Eduardo, Huarote Zegarra Raúl; Yensi, Vega Luján; José, Flores Masías Edward et al.
20th LACCEI International Multi-Conference for Engineering, Education Caribbean Conference for Engineering and Technology: "Education, Research and Leadership in Post-Pandemic Engineering: Resilient Inclusive and Sustainable Actions", LACCEI 2022. ed. / Maria M. Larrondo Petrie; Jose Texier; Andrea Pena; Jose Angel Sanchez Viloria. 2022. (Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology; Vol. 2022-July).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Estrategia para la detección de tipos de enfermedades oculares usando red neuronal SOM

AU - Eduardo, Huarote Zegarra Raúl

AU - Yensi, Vega Luján

AU - José, Flores Masías Edward

AU - Aguilar, Cesar Raul Cuba

AU - Chacaltana, Katherine Susan Llanos

AU - Cesar, Larios Franco Alfredo

AU - Monica, Diaz Reategui

PY - 2022

Y1 - 2022

N2 - This research aims to cover a need to be able to classify according to the funds of eyes in diabetic retinopathy disease, how to convert to gray tone, perform an equalization, apply the canny edge highlighting algorithm and apply morphological operations so that a SOM (self-organization map) neural network can be entered and classified. To achieve this, it is classified as 0 to diabetic retinopathy, 1 to glaucoma and 3 to healthy eyes. To corroborate this strategy, a public database of Fundus-images has been taken, being 45 images of eyes for training and for tests 15 images that were not part of the training were used and for the tests 3 images that were not part of the training were used and each grayscale image is scaled to a dimension of 256x256 pixels, managing to demonstrate with this strategy an affectivity of 93.7% certainty in the identification of class of eye disease.

AB - This research aims to cover a need to be able to classify according to the funds of eyes in diabetic retinopathy disease, how to convert to gray tone, perform an equalization, apply the canny edge highlighting algorithm and apply morphological operations so that a SOM (self-organization map) neural network can be entered and classified. To achieve this, it is classified as 0 to diabetic retinopathy, 1 to glaucoma and 3 to healthy eyes. To corroborate this strategy, a public database of Fundus-images has been taken, being 45 images of eyes for training and for tests 15 images that were not part of the training were used and for the tests 3 images that were not part of the training were used and each grayscale image is scaled to a dimension of 256x256 pixels, managing to demonstrate with this strategy an affectivity of 93.7% certainty in the identification of class of eye disease.

KW - diabetic retinopathy

KW - diabeticretinopathy

KW - eyes

KW - glaucoma

KW - SOM neural network

KW - Strategy

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U2 - 10.18687/LACCEI2022.1.1.578

DO - 10.18687/LACCEI2022.1.1.578

M3 - Contribución a la conferencia

AN - SCOPUS:85140001562

T3 - Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology

BT - 20th LACCEI International Multi-Conference for Engineering, Education Caribbean Conference for Engineering and Technology

A2 - Larrondo Petrie, Maria M.

A2 - Texier, Jose

A2 - Pena, Andrea

A2 - Viloria, Jose Angel Sanchez

T2 - 20th LACCEI International Multi-Conference for Engineering, Education Caribbean Conference for Engineering and Technology, LACCEI 2022

Y2 - 18 July 2022 through 22 July 2022

ER -

Eduardo HZR, Yensi VL, José FME, Aguilar CRC, Chacaltana KSL, Cesar LFA et al. Estrategia para la detección de tipos de enfermedades oculares usando red neuronal SOM. In Larrondo Petrie MM, Texier J, Pena A, Viloria JAS, editors, 20th LACCEI International Multi-Conference for Engineering, Education Caribbean Conference for Engineering and Technology: "Education, Research and Leadership in Post-Pandemic Engineering: Resilient Inclusive and Sustainable Actions", LACCEI 2022. 2022. (Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology). doi: 10.18687/LACCEI2022.1.1.578

Estrategia para la detección de tipos de enfermedades oculares usando red neuronal SOM

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