T-SPOT with CT image analysis based on deep learning for early differential diagnosis of nontuberculous mycobacteria pulmonary disease and pulmonary tuberculosis

T-SPOT with CT image analysis based on deep learning for early differential diagnosis of nontuberculous mycobacteria pulmonary disease and pulmonary tuberculosis

Objectives: This study aimed to establish a diagnostic algorithm combining T-SPOT with computed tomography image analysis based on deep learning (DL) for early differential diagnosis of nontuberculous mycobacteria pulmonary disease (NTM-PD) and pulmonary tuberculosis (PTB). Methods: A total of 1049...

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Bibliografiska uppgifter
Huvudupphovsmän: Chiqing Ying, Xukun Li, Shuangzhi Lv, Peng Du, Yunzhi Chen, Hongxin Fu, Weibo Du, Kaijin Xu, Ying Zhang, Wei Wu
Materialtyp: Artikel
Språk:English
Publicerad: Elsevier 2022-12-01
Serie:International Journal of Infectious Diseases
Ämnen:
Nontuberculous mycobacteria pulmonary disease
Pulmonary tuberculosis
Computed tomography
T-SPOT
Artificial intelligence
Deep learning
Länkar:http://www.sciencedirect.com/science/article/pii/S1201971222005306

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http://www.sciencedirect.com/science/article/pii/S1201971222005306

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