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

Andres Fernando Loja Morocho, Jessica Noemi Rocano Portoviejo, B. Vega-Crespo, Vladimir Robles-Bykbaev, Veronique Verhoeven

Producción científica: Capítulo del libro/informe/acta de congresoContribución de conferenciarevisión exhaustiva

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 originalInglés
Título de la publicación alojadaInformation Technology and Systems - ICITS 2023
EditoresÁlvaro Rocha, Carlos Ferrás, Waldo Ibarra
EditorialSpringer Science and Business Media Deutschland GmbH
Páginas253-261
Número de páginas9
ISBN (versión impresa)9783031332579
DOI
EstadoPublicada - 2023
EventoInternational Conference on Information Technology and Systems, ICITS 2023 - Cusco, Perú
Duración: 24 abr. 202326 abr. 2023

Serie de la publicación

NombreLecture Notes in Networks and Systems
Volumen691 LNNS
ISSN (versión impresa)2367-3370
ISSN (versión digital)2367-3389

Conferencia

ConferenciaInternational Conference on Information Technology and Systems, ICITS 2023
País/TerritorioPerú
CiudadCusco
Período24/04/2326/04/23

Nota bibliográfica

Publisher Copyright:
© 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

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