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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...
| Autores principales: | , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier
2023
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| Materias: | |
| 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 |