Discriminating malignant and benign clinical T1 renal masses on computed tomography: A pragmatic radiomics and machine learning approach

The aim of this study was to discriminate malignant and benign clinical T1 renal masses on routinely acquired computed tomography (CT) images using radiomics and machine learning techniques. Adult patients undergoing surgical resection and histopathological analysis of clinical T1 renal masses were...

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Detalles Bibliográficos
Autores principales: Uhlig, Johannes, Biggemann, Lorenz, Nietert, Manuel M., Beißbarth, Tim, Lotz, Joachim, Kim, Hyun S., Trojan, Lutz, Uhlig, Annemarie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer Health 2020
Materias:
6800
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7220487/
https://www.ncbi.nlm.nih.gov/pubmed/32311963
http://dx.doi.org/10.1097/MD.0000000000019725

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7220487/
https://www.ncbi.nlm.nih.gov/pubmed/32311963
http://dx.doi.org/10.1097/MD.0000000000019725

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