Intelligent System to Provide Support in the Analysis of Colposcopy Images Based on Artificial Vision and Deep Learning: A First Approach for Rural Environments in Ecuador

A. Loja-Morocho; J. Rocano-Portoviejo; B. Vega-Crespo; Vladimir Robles-Bykbaev; Veronique Verhoeven

doi:10.1007/978-3-031-33258-6_23

Intelligent System to Provide Support in the Analysis of Colposcopy Images Based on Artificial Vision and Deep Learning: A First Approach for Rural Environments in Ecuador

A. Loja-Morocho, J. Rocano-Portoviejo, B. Vega-Crespo, Vladimir Robles-Bykbaev, Veronique Verhoeven

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

1 Cita (Scopus)

Resumen

According to the World Health Organization (WHO), cervical cancer (CC) is an illness that has taken more than 342,000 female lives in 2020 and is considered the fourth cause of death in the world. In the rural areas of countries like Ecuador, there is no existence of low-cost tools for women who need to perform a self-screening exam and doctors who need to report cases based on artificial vision. For these reasons, in this article, we present the results of the first stage of development of the ecosystems aimed at the early detection of CC in rural areas. This ecosystem is based on a mobile application used to take photos during self-screening, a web tool to store and manage the image and diagnosis, and a module to classify images using deep learning.

Idioma original	Inglés
Título de la publicación alojada	Information Technology and Systems - ICITS 2023
Editores	Álvaro Rocha, Carlos Ferrás, Waldo Ibarra
Editorial	Springer Science and Business Media Deutschland GmbH
Páginas	253-261
Número de páginas	9
ISBN (versión impresa)	9783031332579
DOI	https://doi.org/10.1007/978-3-031-33258-6_23
Estado	Publicada - 2023
Evento	International Conference on Information Technology and Systems, ICITS 2023 - Cusco, Perú Duración: 24 abr. 2023 → 26 abr. 2023

Serie de la publicación

Nombre	Lecture Notes in Networks and Systems
Volumen	691 LNNS
ISSN (versión impresa)	2367-3370
ISSN (versión digital)	2367-3389

Conferencia

Conferencia	International Conference on Information Technology and Systems, ICITS 2023
País/Territorio	Perú
Ciudad	Cusco
Período	24/04/23 → 26/04/23

ODS de las Naciones Unidas

Este resultado contribuye a los siguientes Objetivos de Desarrollo Sostenible

Acceder al documento

10.1007/978-3-031-33258-6_23

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Citar esto

Loja-Morocho, A., Rocano-Portoviejo, J., Vega-Crespo, B., Robles-Bykbaev, V., & Verhoeven, V. (2023). Intelligent System to Provide Support in the Analysis of Colposcopy Images Based on Artificial Vision and Deep Learning: A First Approach for Rural Environments in Ecuador. En Á. Rocha, C. Ferrás, & W. Ibarra (Eds.), Information Technology and Systems - ICITS 2023 (pp. 253-261). (Lecture Notes in Networks and Systems; Vol. 691 LNNS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-33258-6_23

Loja-Morocho, A. ; Rocano-Portoviejo, J. ; Vega-Crespo, B. et al. / Intelligent System to Provide Support in the Analysis of Colposcopy Images Based on Artificial Vision and Deep Learning : A First Approach for Rural Environments in Ecuador. Information Technology and Systems - ICITS 2023. editor / Álvaro Rocha ; Carlos Ferrás ; Waldo Ibarra. Springer Science and Business Media Deutschland GmbH, 2023. pp. 253-261 (Lecture Notes in Networks and Systems).

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abstract = "According to the World Health Organization (WHO), cervical cancer (CC) is an illness that has taken more than 342,000 female lives in 2020 and is considered the fourth cause of death in the world. In the rural areas of countries like Ecuador, there is no existence of low-cost tools for women who need to perform a self-screening exam and doctors who need to report cases based on artificial vision. For these reasons, in this article, we present the results of the first stage of development of the ecosystems aimed at the early detection of CC in rural areas. This ecosystem is based on a mobile application used to take photos during self-screening, a web tool to store and manage the image and diagnosis, and a module to classify images using deep learning.",

keywords = "Cervical Cancer, computer vision, deep learning, mobile applications, rural areas",

author = "A. Loja-Morocho and J. Rocano-Portoviejo and B. Vega-Crespo and Vladimir Robles-Bykbaev and Veronique Verhoeven",

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Loja-Morocho, A, Rocano-Portoviejo, J, Vega-Crespo, B, Robles-Bykbaev, V & Verhoeven, V 2023, Intelligent System to Provide Support in the Analysis of Colposcopy Images Based on Artificial Vision and Deep Learning: A First Approach for Rural Environments in Ecuador. En Á Rocha, C Ferrás & W Ibarra (eds.), Information Technology and Systems - ICITS 2023. Lecture Notes in Networks and Systems, vol. 691 LNNS, Springer Science and Business Media Deutschland GmbH, pp. 253-261, International Conference on Information Technology and Systems, ICITS 2023, Cusco, Perú, 24/04/23. https://doi.org/10.1007/978-3-031-33258-6_23

Intelligent System to Provide Support in the Analysis of Colposcopy Images Based on Artificial Vision and Deep Learning: A First Approach for Rural Environments in Ecuador. / Loja-Morocho, A.; Rocano-Portoviejo, J.; Vega-Crespo, B. et al.
Information Technology and Systems - ICITS 2023. ed. / Álvaro Rocha; Carlos Ferrás; Waldo Ibarra. Springer Science and Business Media Deutschland GmbH, 2023. p. 253-261 (Lecture Notes in Networks and Systems; Vol. 691 LNNS).

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

TY - GEN

T1 - Intelligent System to Provide Support in the Analysis of Colposcopy Images Based on Artificial Vision and Deep Learning

T2 - International Conference on Information Technology and Systems, ICITS 2023

AU - Loja-Morocho, A.

AU - Rocano-Portoviejo, J.

AU - Vega-Crespo, B.

AU - Robles-Bykbaev, Vladimir

AU - Verhoeven, Veronique

PY - 2023

Y1 - 2023

N2 - According to the World Health Organization (WHO), cervical cancer (CC) is an illness that has taken more than 342,000 female lives in 2020 and is considered the fourth cause of death in the world. In the rural areas of countries like Ecuador, there is no existence of low-cost tools for women who need to perform a self-screening exam and doctors who need to report cases based on artificial vision. For these reasons, in this article, we present the results of the first stage of development of the ecosystems aimed at the early detection of CC in rural areas. This ecosystem is based on a mobile application used to take photos during self-screening, a web tool to store and manage the image and diagnosis, and a module to classify images using deep learning.

AB - According to the World Health Organization (WHO), cervical cancer (CC) is an illness that has taken more than 342,000 female lives in 2020 and is considered the fourth cause of death in the world. In the rural areas of countries like Ecuador, there is no existence of low-cost tools for women who need to perform a self-screening exam and doctors who need to report cases based on artificial vision. For these reasons, in this article, we present the results of the first stage of development of the ecosystems aimed at the early detection of CC in rural areas. This ecosystem is based on a mobile application used to take photos during self-screening, a web tool to store and manage the image and diagnosis, and a module to classify images using deep learning.

KW - Cervical Cancer

KW - computer vision

KW - deep learning

KW - mobile applications

KW - rural areas

UR - https://www.scopus.com/pages/publications/85169009848

U2 - 10.1007/978-3-031-33258-6_23

DO - 10.1007/978-3-031-33258-6_23

M3 - Contribución a la conferencia

AN - SCOPUS:85169009848

SN - 9783031332579

T3 - Lecture Notes in Networks and Systems

SP - 253

EP - 261

BT - Information Technology and Systems - ICITS 2023

A2 - Rocha, Álvaro

A2 - Ferrás, Carlos

A2 - Ibarra, Waldo

PB - Springer Science and Business Media Deutschland GmbH

Y2 - 24 April 2023 through 26 April 2023

ER -

Loja-Morocho A, Rocano-Portoviejo J, Vega-Crespo B, Robles-Bykbaev V, Verhoeven V. Intelligent System to Provide Support in the Analysis of Colposcopy Images Based on Artificial Vision and Deep Learning: A First Approach for Rural Environments in Ecuador. En Rocha Á, Ferrás C, Ibarra W, editores, Information Technology and Systems - ICITS 2023. Springer Science and Business Media Deutschland GmbH. 2023. p. 253-261. (Lecture Notes in Networks and Systems). doi: 10.1007/978-3-031-33258-6_23