Clasificación de parásitos de la malaria
Malaria, a prevalent parasitic disease, has traditionally been diagnosed through microscopic blood examination, a method that requires considerable expertise and is subject to interpretative variability. This project proposes the use of advanced image processing techniques and machine learning to en...
- Autores:
-
Rojas Tocora, Angelica Maria
- Tipo de recurso:
- Trabajo de grado de pregrado
- Fecha de publicación:
- 2024
- Institución:
- Escuela Colombiana de Ingeniería Julio Garavito
- Repositorio:
- Repositorio Institucional ECI
- Idioma:
- spa
- OAI Identifier:
- oai:repositorio.escuelaing.edu.co:001/2811
- Acceso en línea:
- https://repositorio.escuelaing.edu.co/handle/001/2811
https://catalogo.escuelaing.edu.co/cgi-bin/koha/opac-detail.pl?biblionumber=23637
- Palabra clave:
- Malaria
Procesamiento de imágenes
Aprendizaje automático
Malaria
Procesamiento de imágenes
Aprendizaje automático
Malaria
Image processing
Machine learning
- Rights
- openAccess
- License
- http://purl.org/coar/access_right/c_abf2
| Summary: | Malaria, a prevalent parasitic disease, has traditionally been diagnosed through microscopic blood examination, a method that requires considerable expertise and is subject to interpretative variability. This project proposes the use of advanced image processing techniques and machine learning to enhance the detection and classification of the four malaria parasites that infect humans: Plasmodium falciparum, P. vivax, P. ovale, and P. malariae. |
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