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Deep learning image analysis for filamentous fungi taxonomic classification: Dealing with small datasets with class imbalance and hierarchical grouping.

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Title: Deep learning image analysis for filamentous fungi taxonomic classification: Dealing with small datasets with class imbalance and hierarchical grouping.
Authors: Stiller S; Leibniz Centre for Agricultural Landscape Research (ZALF), Müncheberg 15374, Germany.; Institute of Environmental Sciences, Brandenburg University of Technology Cottbus-Senftenberg (BTU), Cottbus 03046, Germany.; Institute of Biology, Freie Universität Berlin, Berlin 14195, Germany., Dueñas JF; Institute of Biology, Freie Universität Berlin, Berlin 14195, Germany.; Berlin-Brandenburg Institute of Advanced Biodiversity Research (BBIB), Berlin 14195, Germany., Hempel S; Institute of Biology, Freie Universität Berlin, Berlin 14195, Germany.; Berlin-Brandenburg Institute of Advanced Biodiversity Research (BBIB), Berlin 14195, Germany., Rillig MC; Institute of Biology, Freie Universität Berlin, Berlin 14195, Germany.; Berlin-Brandenburg Institute of Advanced Biodiversity Research (BBIB), Berlin 14195, Germany., Ryo M; Leibniz Centre for Agricultural Landscape Research (ZALF), Müncheberg 15374, Germany.; Institute of Environmental Sciences, Brandenburg University of Technology Cottbus-Senftenberg (BTU), Cottbus 03046, Germany.
Source: Biology methods & protocols [Biol Methods Protoc] 2024 Aug 27; Vol. 9 (1), pp. bpae063. Date of Electronic Publication: 2024 Aug 27 (Print Publication: 2024).
Publication Type: Journal Article
Journal Info: Publisher: Oxford University Press Country of Publication: England NLM ID: 101693064 Publication Model: eCollection Cited Medium: Internet ISSN: 2396-8923 (Electronic) Linking ISSN: 23968923 NLM ISO Abbreviation: Biol Methods Protoc Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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ISSN:2396-8923
DOI:10.1093/biomethods/bpae063