Distinguishing infectivity in patients with pulmonary tuberculosis using deep learning
Yi Gao,
Yiwen Zhang,
Chengguang Hu
et al.
Abstract:IntroductionThis study aimed to develop and assess a deep-learning model based on CT images for distinguishing infectivity in patients with pulmonary tuberculosis (PTB).MethodsWe labeled all 925 patients from four centers with weak and strong infectivity based on multiple sputum smears within a month for our deep-learning model named TBINet's training. We compared TBINet's performance in identifying infectious patients to that of the conventional 3D ResNet model. For model explainability, we used gradient-weig… Show more
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