dc.creatorRobles Bykbaev, Vladimir
dc.creatorLoja Morocho, Andres Fernando
dc.creatorRocano Portoviejo, Jessica Noemi
dc.creatorVega Crespo, Bernardo Jose
dc.creatorVerhoeven, Veronique
dc.date.accessioned2023-07-17T16:06:26Z
dc.date.accessioned2023-08-10T13:58:23Z
dc.date.available2023-07-17T16:06:26Z
dc.date.available2023-08-10T13:58:23Z
dc.date.created2023-07-17T16:06:26Z
dc.date.issued2023
dc.identifier000-000-000-0
dc.identifier2367-3370, e 2367-3389
dc.identifierhttp://dspace.ucuenca.edu.ec/handle/123456789/42405
dc.identifierhttps://link.springer.com/chapter/10.1007/978-3-031-33258-6_23
dc.identifier10.1007/978-3-031-33258-6_23
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/8151754
dc.description.abstractAccording 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
dc.languagees_ES
dc.publisherSpringer
dc.sourceInternational Conference on Information Technology & Systems
dc.subjectDeep learning
dc.subjectMobile applications
dc.subjectRural areas
dc.subjectCervical Cancer
dc.subjectComputer visio
dc.titleIntelligent 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
dc.typeARTÍCULO DE CONFERENCIA


Este ítem pertenece a la siguiente institución