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Updated: Jun 15, 2026

Confocal Laser Scanning Microscopy-Based Quantitative Analysis of Aspergillus fumigatus Conidia Distribution in Whole-Mount Optically Cleared Mouse Lung
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通过基于人工智能的图像识别来自动识别临床重要Aspergillus物种:概念验证研究

Chi-Ching Tsang1,2, Chenyang Zhao2, Yueh Liu3

  • 1School of Medical and Health Sciences, Tung Wah College, Homantin, Hong Kong.

Emerging microbes & infections
|November 25, 2024
PubMed
概括

人工智能 (AI) 图像识别在识别Aspergillus物种方面表现有前途. 这种自动化方法为传统技术提供了一个用户友好的,具有成本效益的替代方案,有可能成为常规诊断工具.

关键词:
亚斯珀吉洛斯 (Aspergillus) 是一种植物.人工智能的人工智能是人工智能.自动化自动化自动化自动化标识 标识 标识 标识 标识图像识别功能 图像识别功能机器学习是机器学习.

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MALDI-TOF MS has transformed clinical microbiology by offering a rapid and reliable method for pathogen identification. The traditional approach to microbial identification typically involves time-consuming culture techniques and biochemical tests, which can delay the initiation of appropriate antimicrobial therapy. MALDI-TOF MS avoids these delays by using characteristic ribosomal protein mass patterns of microbial cells, enabling accurate species-level identification within minutes.Principle...