Development and validation of a 3D-convolutional neural network model based on chest CT for differentiating active pulmonary tuberculosis from community-acquired pneumonia

PURPOSE: To develop and validate a 3D-convolutional neural network (3D-CNN) model based on chest CT for differentiating active pulmonary tuberculosis (APTB) from community-acquired pneumonia (CAP). MATERIALS AND METHODS: Chest CT images of APTB and CAP patients diagnosed in two imaging centers (n = ...

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Detalles Bibliográficos
Autores principales: Han, Dong, Chen, Yibing, Li, Xuechao, Li, Wen, Zhang, Xirong, He, Taiping, Yu, Yong, Dou, Yuequn, Duan, Haifeng, Yu, Nan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Milan 2022
Materias:
Chest Radiology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9793822/
https://www.ncbi.nlm.nih.gov/pubmed/36574111
http://dx.doi.org/10.1007/s11547-022-01580-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9793822/
https://www.ncbi.nlm.nih.gov/pubmed/36574111
http://dx.doi.org/10.1007/s11547-022-01580-8

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