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March 1, 2018Journal of Thoracic Disease169 citationsOpen Access

Automatic detection of mycobacterium tuberculosis using artificial intelligence

YXYan XiongXBXiaojun BaAHAo Hou

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Abstract

TB-AI can be a promising support system to detect stained TB bacilli and help make clinical decisions. It holds the potential to relieve the heavy workload of pathologists and decrease chances of missed diagnosis. Samples labeled as positive by TB-AI must be confirmed by pathologists, and those labeled as negative should be reviewed to make sure that the digital slides are qualified.

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Cite This Study

Xiong et al. (2018) studied this question.

synapsesocial.com/papers/69dbeaf040b636d1dda3c44dhttps://doi.org/10.21037/jtd.2018.01.91
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