Explainable convolutional neural network architectures for high-performance taxonomic classification of gasteroid macrofungi
Abstract Gasteroid fungi represent a morphologically diverse and taxonomically challenging group due to their convergent evolution and closed fruiting bodies. This study presents a novel deep learning-based framework for the classification of six macrofungi species: Battarrea phalloides, Crucibulum...
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| Autors principals: | , , , , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Nature Portfolio
2025-11-01
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| Col·lecció: | Scientific Reports |
| Matèries: | |
| Accés en línia: | https://doi.org/10.1038/s41598-025-23974-0 |
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