Hybrid Deep Learning Framework for High-Accuracy Classification of Morphologically Similar Puffball Species Using CNN and Transformer Architectures

Hybrid Deep Learning Framework for High-Accuracy Classification of Morphologically Similar Puffball Species Using CNN and Transformer Architectures

Puffballs, a group of macrofungi belonging to the <i>Basidiomycota</i>, pose taxonomic challenges due to their convergent morphological features, including spherical basidiocarps and similar peridial structures, which often hinder accurate species-level identification. This study propose...

Full description

Saved in:
Bibliographic Details
Main Authors: Eda Kumru, Güney Ugurlu, Mustafa Sevindik, Fatih Ekinci, Mehmet Serdar Güzel, Koray Acici, Ilgaz Akata
Format: Article
Language:English
Published: MDPI AG 2025-07-01
Series:Biology
Subjects:
puffball
deep learning
fungal classification
CNN-transformer hybrid
image classification
Online Access:https://www.mdpi.com/2079-7737/14/7/816
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items