Bibliographic citations
Salas, A., (2024). Diseño de una plataforma de IA para la detección temprana de enfermedades de la piel a través de análisis de imágenes [Trabajo de suficiencia profesional, Universidad Peruana de Ciencias Aplicadas (UPC)]. http://hdl.handle.net/10757/683335
Salas, A., Diseño de una plataforma de IA para la detección temprana de enfermedades de la piel a través de análisis de imágenes [Trabajo de suficiencia profesional]. PE: Universidad Peruana de Ciencias Aplicadas (UPC); 2024. http://hdl.handle.net/10757/683335
@misc{renati/1039144,
title = "Diseño de una plataforma de IA para la detección temprana de enfermedades de la piel a través de análisis de imágenes",
author = "Salas Padilla, Adrian Edgardo",
publisher = "Universidad Peruana de Ciencias Aplicadas (UPC)",
year = "2024"
}
This work develops the design of an AI platform for the early detection of skin diseases through image analysis in order to prevent the evolution or proliferation causing more serious or irreversible diseases. This project presents an automatic detection system for dermatological conditions using a convolutional neural network (CNN) model. It began with the collection of a database of skin images, organized into categories such as acne, healthy skin, and other conditions. The images were subjected to preprocessing that included resizing and normalization to ensure consistency in training. From this, a CNN designed to identify condition-specific visual patterns was developed, optimizing its architecture to achieve high accuracy. The evaluation of the model was performed using performance metrics such as accuracy and sensitivity, which allowed adjusting parameters and improving its diagnostic capability. Finally, the model was implemented in an application with a graphical interface, allowing the user to upload images and receive a diagnosis accompanied by treatment recommendations. A success rate of 88.01% was determined. This system provides an accessible and easy-to-use tool for the preliminary detection of skin problems, facilitating decision making and promoting early dermatologic health care.
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