Evaluation of radiomics and machine learning in identification of aggressive tumor features in renal cell carcinoma (RCC).
Purpose: The purpose of this study was to evaluate the use of CT radiomics features and machine learning analysis to identify aggressive tumor features, including high nuclear grade (NG) and sarcomatoid (sarc) features, in large renal cell carcinomas (RCCs). Methods: CT-based volumetric radiomics an...
| Publicado en: | Abdominal Radiology Vol. 46; no. 9; pp. 4278 - 4289 |
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| Autores principales: | , , , , , , , |
| Formato: | Journal Article |
| Publicado: |
Springer Nature
Sep2021
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| Acceso en línea: | Ver este registro en EBSCOhost |