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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...

Ausführliche Beschreibung

Gespeichert in:
Hauptverfasser: Eda Kumru, Fatih Ekinci, Abdullah Aydoğan, Mehmet Serdar Güzel, Mustafa Sevindik, Ilgaz Akata
Format: Artigo
Sprache:Inglês
Veröffentlicht: Nature Portfolio 2025-11-01
Schriftenreihe:Scientific Reports
Schlagworte:
Deep learning
Gasteroid fungi
CNN classification
Explainable AI
Image-based taxonomy
Online-Zugang:https://doi.org/10.1038/s41598-025-23974-0
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