Correction: Assessing the Validity and Impact of Remote Digital Image Reading in Fungal Diagnostics
Vilhelmina Lundgren, Özlem Dogan, Anna Ekwall-Larson, Christine Stenström, Erja Chryssanthou, Maria Guglielmeti, Ylva Närström, Patrik Dinnétz, Silvia Botero-Kleiven, Volkan Özenci

Abstract
Genes, proteins, chemicals, diseases, species, mutations and cell lines named across the full text — each resolved to its canonical identifier and authoritative record.
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Taxonomy
TopicsCell Image Analysis Techniques · AI in cancer detection · Entomopathogenic Microorganisms in Pest Control
Correction to: Mycopathologia (2025) 190:114 10.1007/s11046-025-01012-x
In the original publication of this article, Fig. 6 appeared in an incomplete form. This has now been corrected in the online publication. For completeness and transparency, the correct and old incorrect versions are displayed below.
The original article has been corrected.
Incorrect Fig. 6Fig. 6. Correct decision rate (%) for individual participant for each image group. Error bars indicate 95% CI. The interaction between participant and digital image group as non-significant (p = 0.118, glm)
Correct Fig. 6Fig. 6. Correct decision rate (%) for individual participant for each image group. Error bars indicate 95% CI. The interaction between participant and digital image group as non-significant (p = 0.118, glm)
