A Novel ConvNeXtV2–MIL Approach for Accurate and Efficient Classification of Microscopic Fungal Morphology.
Fungal infections, especially in people with weakened immune systems, are a significant global health burden. Accurate identification of fungal morphology from microscopic images is a critical step in guiding timely antifungal treatment decisions. However, manual morphological assessment remains hig...
| Publicado en: | Journal of Imaging Informatics in Medicine pp. 1 - 12 |
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| Autores principales: | , , , , , |
| Formato: | Journal Article |
| Publicado: |
Springer Nature
Jun2026
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| Acceso en línea: | Ver este registro en EBSCOhost |