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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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
BMC
2025-07-01
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| Series: | BMC Infectious Diseases |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s12879-025-11296-5 |
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