Citas bibligráficas
Campos, J., De, E. (2021). Modelo tecnológico para el soporte al diagnóstico de lesiones cutáneas del tipo melanoma usando reconocimiento de imágenes [Tesis, Universidad Peruana de Ciencias Aplicadas (UPC)]. http://hdl.handle.net/10757/656672
Campos, J., De, E. Modelo tecnológico para el soporte al diagnóstico de lesiones cutáneas del tipo melanoma usando reconocimiento de imágenes [Tesis]. PE: Universidad Peruana de Ciencias Aplicadas (UPC); 2021. http://hdl.handle.net/10757/656672
@misc{renati/1290239,
title = "Modelo tecnológico para el soporte al diagnóstico de lesiones cutáneas del tipo melanoma usando reconocimiento de imágenes",
author = "De La Cruz Dominguez, Emily Yanira",
publisher = "Universidad Peruana de Ciencias Aplicadas (UPC)",
year = "2021"
}
Skin cancer is the most common type of cancer in the world. More than 65,000 people die each year because of this skin cancer and more than 13 million cases of skin cancer are diagnosed each year. In Peru is the fourth cancer with the highest incidence in the country and in the country 1200 Peruvians are detected with skin cancer. major: cases of skin cancer: Lima 45.9%, La Libertad 13.2%, Lambayeque 7.5%, Cajamarca 4.9%, Junin with 3.1% and other regions 25.4% (Sausa, 2017). In addition, 85% of the 130 specialists Oncologists are concentrated in the capital and in some regions, there are none. In this project, we proposed a technological model for the early detection of skin cancer. The purpose is reduce the waiting time to obtaining a diagnosis, in addition, the function of the dermatoscope has been digitized by using a Smartphone and magnifying lenses as an accessory the mobile device. The proposed model has five phases: 1) Input. 2) Screenshot. 3) Channel. 4) Analysis and processing. 5) Display. 6) Ouput. 7) Support. This model was validated in a group of 60 patients, where 12 suffer from skin cancer int the late stage, 28 un the early stage and 20 are healthy patients, in a network of clinics in Lima, Peru. The obtained result was 97% of assertiveness on the analyzed skin lesions and 90% in healthy patients (Campos Poma, De La Cruz, Armas-Aguirre, & Gutiérrez González, 2020).
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