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Driverless artificial intelligence framework for the identification of malignant pleural effusion
Our study aimed to explore the applicability of deep learning and machine learning techniques to distinguish MPE from BPE. We initially used a retrospective cohort with 726 PE patients to train and test the predictive performances of the driverless artificial intelligence (AI), and then stacked with...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Neoplasia Press
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7557891/ https://www.ncbi.nlm.nih.gov/pubmed/33045678 http://dx.doi.org/10.1016/j.tranon.2020.100896 |