https://scholars.lib.ntu.edu.tw/handle/123456789/631510
標題: | A deep learning model using chest X-ray for identifying TB and NTM-LD patients: a cross-sectional study | 作者: | CHIA-JUNG LIU Tsai, Cheng Che LU-CHENG KUO Kuo, Po-Chih MENG-RUI LEE JANN-YUAN WANG JEN-CHUNG KO JIN-YUAN SHIH HAO-CHIEN WANG CHONG-JEN YU |
關鍵字: | Artificial intelligence; Chest radiography; Deep learning; Nontuberculous mycobacteria; Tuberculosis | 公開日期: | 15-四月-2023 | 出版社: | SPRINGER | 卷: | 14 | 期: | 1 | 來源出版物: | Insights into imaging | 摘要: | Timely differentiating between pulmonary tuberculosis (TB) and nontuberculous mycobacterial lung disease (NTM-LD), which are radiographically similar, is important because infectiousness and treatment differ. This study aimed to evaluate whether artificial intelligence could distinguish between TB or NTM-LD patients by chest X-rays (CXRs) from suspects of mycobacterial lung disease. |
URI: | https://scholars.lib.ntu.edu.tw/handle/123456789/631510 | ISSN: | 1869-4101 | DOI: | 10.1186/s13244-023-01395-9 |
顯示於: | 醫學系 |
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