Deep learning application to hyphae and spores identification in fungal fluorescence images

Deep learning application to hyphae and spores identification in fungal fluorescence images

Abstract This study explores the application of deep learning to fungal disease diagnosis, focusing on an automated detection system for hyphae and spores in clinical samples. This study employs a combination of the YOLOX and MobileNet V2 models to analyze fungal fluorescence images. The YOLOX model...

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Bibliographic Details
Main Authors: Ruisong Ren, Wenyu Tan, Shiting Chen, Xiaoya Xu, Dadong Zhang, Peilin Chen, Min Zhu
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Reports
Subjects:
Fungal disease diagnosis
Deep learning
YOLOX model
MobileNet V2 model
Image analysis
AI application in medicine
Online Access:https://doi.org/10.1038/s41598-025-11228-y
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https://doi.org/10.1038/s41598-025-11228-y

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