A Deep Learning and Explainable AI-Based Approach for the Classification of Discomycetes Species

A Deep Learning and Explainable AI-Based Approach for the Classification of Discomycetes Species

This study presents a novel approach for classifying Discomycetes species using deep learning and explainable artificial intelligence (XAI) techniques. The EfficientNet-B0 model achieved the highest performance, reaching 97% accuracy, a 97% F1-score, and a 99% AUC, making it the most effective model...

Full description

Saved in:
Bibliographic Details
Main Authors: Aras Fahrettin Korkmaz, Fatih Ekinci, Şehmus Altaş, Eda Kumru, Mehmet Serdar Güzel, Ilgaz Akata
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Biology
Subjects:
Discomycetes classification
deep learning
explainable artificial intelligence (XAI)
EfficientNet-B0
fungal taxonomy
Online Access:https://www.mdpi.com/2079-7737/14/6/719
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://www.mdpi.com/2079-7737/14/6/719

Similar Items