AI-assisted diagnosis of vulvovaginal candidiasis using cascaded neural networks

AI-assisted diagnosis of vulvovaginal candidiasis using cascaded neural networks

ABSTRACT Vulvovaginal candidiasis (VVC) is a prevalent fungal ailment affecting women globally. Timely and accurate diagnosis is crucial. Traditional methods, relying on clinical evaluation and manual microscopic examination, have limitations. Artificial intelligence (AI) offers potential improvemen...

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Main Authors: Zhongxiao Wang, Ruliang Wang, Haichun Guo, Qiannan Zhao, Huijun Ren, Jumin Niu, Ying Wang, Wei Wu, Bingbing Liang, Xin Yi, Xiaolei Zhang, Shiqi Xu, Xianling Dong, Liqun Wang, Qinping Liao
Format: Article
Language:English
Published: American Society for Microbiology 2025-01-01
Series:Microbiology Spectrum
Subjects:
Vulvovaginal candidiasis
cascaded neural network
slide level
microscopic images
Online Access:https://journals.asm.org/doi/10.1128/spectrum.01691-24
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https://journals.asm.org/doi/10.1128/spectrum.01691-24

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