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Morphologic identification of clinically encountered moulds using a residual neural network
The use of morphology to diagnose invasive mould infections in China still faces substantial challenges, which often leads to delayed diagnosis or misdiagnosis. We developed a model called XMVision Fungus AI to identify mould infections by training, testing, and evaluating a ResNet-50 model. Our res...
Autores principales: | Jing, Ran, Yin, Xiang-Long, Xie, Xiu-Li, Lian, He-Qing, Li, Jin, Zhang, Ge, Yang, Wen-Hang, Sun, Tian-Shu, Xu, Ying-Chun |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9614265/ https://www.ncbi.nlm.nih.gov/pubmed/36312928 http://dx.doi.org/10.3389/fmicb.2022.1021236 |
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