Bibliographic citations
Astorayme, F., Galindo, F. (2024). Aplicación web para la detección temprana de la formación de cataratas en adultos mayores usando un servicio Cloud basado en Deep Learning [Tesis, Universidad Peruana de Ciencias Aplicadas (UPC)]. http://hdl.handle.net/10757/683288
Astorayme, F., Galindo, F. Aplicación web para la detección temprana de la formación de cataratas en adultos mayores usando un servicio Cloud basado en Deep Learning [Tesis]. PE: Universidad Peruana de Ciencias Aplicadas (UPC); 2024. http://hdl.handle.net/10757/683288
@misc{renati/1036163,
title = "Aplicación web para la detección temprana de la formación de cataratas en adultos mayores usando un servicio Cloud basado en Deep Learning",
author = "Galindo Vilca, Fatima Dayana",
publisher = "Universidad Peruana de Ciencias Aplicadas (UPC)",
year = "2024"
}
Cataracts are defined as an opacity in the eye's lens and are one of the leading causes of blindness worldwide. This condition is closely linked to age, primarily affecting older adults. The main challenge in detecting cataracts lies in the limited availability of ophthalmologists and specialized equipment for diagnosis, which prevents timely treatment and results in vision loss due to this disease. Although research has been conducted to detect cataracts in patients, few have been implemented in applications directed at end-users. Therefore, we propose the development of a web application that uses a Deep Learning model to identify cataract formation in older adults. For the development of the application, web technologies such as React.js and Express.js were used, along with Azure cloud services, ensuring the computing power and availability of the solution. The project results reveal that the model achieves an efficacy of over 85% in metrics such as sensitivity, precision, accuracy, and specificity. These results support the effectiveness of both the model and the web application in detecting cataracts. This solution provides a valuable tool for medical centers lacking ophthalmology specialization and for patients without access to this service.
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