Deep learning on longitudinal CT scans: automated prediction of treatment outcomes in hospitalized tuberculosis patients

Three deep learning (DL)-based prediction models (PMs) using longitudinal CT images were developed to predict tuberculosis (TB) treatment outcomes. The internal dataset consists of 493 bacteriologically confirmed TB patients who completed the anti-tuberculosis treatment with three-time CT scans, inc...

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Detalles Bibliográficos
Autores principales: Nijiati, Mayidili, Guo, Lin, Tuersun, Abudouresuli, Damola, Maihemitijiang, Abulizi, Abudoukeyoumujiang, Dong, Jiake, Xia, Li, Hong, Kunlei, Zou, Xiaoguang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10641748/
https://www.ncbi.nlm.nih.gov/pubmed/37965132
http://dx.doi.org/10.1016/j.isci.2023.108326

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10641748/
https://www.ncbi.nlm.nih.gov/pubmed/37965132
http://dx.doi.org/10.1016/j.isci.2023.108326

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