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 |
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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 | |
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 |
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Volumen | 691 LNNS |
ISSN (versión impresa) | 2367-3370 |
ISSN (versión digital) | 2367-3389 |
Conferencia
Conferencia | International Conference on Information Technology and Systems, ICITS 2023 |
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País/Territorio | Perú |
Ciudad | Cusco |
Período | 24/04/23 → 26/04/23 |
Nota bibliográfica
Publisher Copyright:© 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.