Automatic fluorescence microscopic image analyzer: a novel AI-based tool for early diagnosing superficial fungal infections

Abstract Background Superficial fungal infections (SFIs) are highly prevalent globally, affecting approximately 20–25% of the population. Their diverse and often non-specific clinical manifestations necessitate accurate and timely laboratory diagnosis. Traditional methods such as potassium hydroxide...

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Bibliografiske detaljer

Principais autores:	Wenjing He, Chunjiao Zheng, Lianjuan Yang, Jingwen Tan
Format:	Artigo
Sprog:	Inglês
Udgivet:	BMC 2025-07-01
Serier:	BMC Infectious Diseases
Fag:	Superficial fungal infections Automatic fluorescence microscopy Artificial intelligence (AI) Diagnostic tool Image analysis Clinical mycology
Online adgang:	https://doi.org/10.1186/s12879-025-11296-5
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