| Revista: | Computación y sistemas |
| Base de datos: | |
| Número de sistema: | 000560543 |
| ISSN: | 1405-5546 |
| Autors: | Calderon Vilca, Hugo D.1 Ortega Melgarejo, Luis M.1 Larico Uchamaco, Guido R.2 Cárdenas Mariño, Flor C.1 |
| Institucions: | 1Universidad Nacional Mayor de San Marcos, Lima. Perú 2Universidad Nacional Amazónica de Madre de Dios, Madre de Dios. Perú |
| Any: | 2020 |
| Període: | Jul-Sep |
| Volum: | 24 |
| Número: | 3 |
| Paginació: | 989-997 |
| País: | México |
| Idioma: | Inglés |
| Resumen en inglés | Tuberculosis is a lethal disease that attacks the lungs in a similar way to COVID 19, according to the who, until 2018 there were more than 10 million people infected with tuberculosis and 1.5 million died with this disease. Artificial Intelligence algorithms allow detecting these diseases quickly and massively. We present an architecture to detect tuberculosis with image processing on lung radiographs, using the SIFT and K-means algorithms. We have tested the architecture with 300 radiographs, achieving 90.3% accuracy in classification. |
| Disciplines | Ciencias de la computación |
| Paraules clau: | Inteligencia artificial |
| Keyword: | Image processing, K-Means, SIFT algorithm, Machine learning, Artificial intelligence |
| Text complet: | Texto completo (Ver HTML) Texto completo (Ver PDF) |
