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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Foilsithe in:Medicine (Baltimore)
Main Authors: Uhlig, Johannes, Biggemann, Lorenz, Nietert, Manuel M., Beißbarth, Tim, Lotz, Joachim, Kim, Hyun S., Trojan, Lutz, Uhlig, Annemarie
Formáid: Artigo
Teanga:Inglês
Foilsithe: Wolters Kluwer Health 2020
Ábhair:
6800
Rochtain Ar Líne:https://ncbi.nlm.nih.gov/pmc/articles/PMC7220487/
https://ncbi.nlm.nih.gov/pubmed/32311963
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1097/MD.0000000000019725
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