Machine learning model based on enhanced CT radiomics for the preoperative prediction of lymphovascular invasion in esophageal squamous cell carcinoma
ObjectiveTo evaluate the value of a machine learning model using enhanced CT radiomics features in the prediction of lymphovascular invasion (LVI) of esophageal squamous cell carcinoma (ESCC) before treatment.MethodsWe reviewed and analyzed the enhanced CT images of 258 ESCC patients from June 2017...
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| Autors principals: | , , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Frontiers Media S.A.
2024-02-01
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| Col·lecció: | Frontiers in Oncology |
| Matèries: | |
| Accés en línia: | https://www.frontiersin.org/articles/10.3389/fonc.2024.1308317/full |
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