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...
Αποθηκεύτηκε σε:
| Κύριος συγγραφέας: | |
|---|---|
| Μορφή: | bachelorThesis |
| Γλώσσα: | spa |
| Έκδοση: |
2024
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| Θέματα: | |
| Διαθέσιμο Online: | https://dspace.unl.edu.ec/jspui/handle/123456789/30539 |
| Ετικέτες: |
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