Fitting of the “vit-base-patch16-224-in21k” model for pneumonia classification in chest radiographic images using transformer vision networks.
Detecting pneumonia is a high-impact task in the medical sector in general, and illness analysis utilizing radiographic images has been designated as a priority for rapid diagnosis of the medical condition. In this context, the primary goal of the research was to use vision transformer (ViT) network...
Guardat en:
| Autor principal: | |
|---|---|
| Format: | bachelorThesis |
| Idioma: | spa |
| Publicat: |
2024
|
| Matèries: | |
| Accés en línia: | https://dspace.unl.edu.ec/jspui/handle/123456789/30539 |
| Etiquetes: |
Afegir etiqueta
Sense etiquetes, Sigues el primer a etiquetar aquest registre!
|
Afegir etiqueta Sigues el primer a deixar un comentari!