ArticleBiology methods & protocols2024
Deep learning image analysis for filamentous fungi taxonomic classification: Dealing with small datasets with class imbalance and hierarchical grouping.
Article in Biology methods & protocols, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- EfficientNet-B0-Based Screening of WBC-Diff Scattergram Images for Hematological Abnormalities.Cancer medicine · 2026Article
- Novel imaging approaches for visualizing root-mycorrhizal fungal interactions.Journal of experimental botany · 2026Review
- Unraveling hidden species diversity of talpid moles using phylogenomics and skull-based deep learning.Communications biology · 2026Article
- FungID: Innovative Fungi Identification Method with Chromogenic Profiling of Colony Color Patterns.Pathogens (Basel, Switzerland) · 2025Article
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Authors and funding
5 authors.
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Abstract
Deep learning applications in taxonomic classification for animals and plants from images have become popular, while those for microorganisms are still lagging behind. Our study investigated the potential of deep learning for the taxonomic classification of hundreds of filamentous fungi from colony images, which is typically a task that requires specialized knowledge. We isolated soil fungi, annotated their taxonomy using standard molecular barcode techniques, and took images of the fungal colonies grown in petri dishes (
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