Predictive models composed by radiomic features extracted from multi-detector computed tomography images for predicting low- and high- grade clear cell renal cell carcinoma: A STARD-compliant article

To evaluate the values of conventional image features (CIFs) and radiomic features (RFs) extracted from multi-detector computed tomography (MDCT) images for predicting low- and high-grade clear cell renal cell carcinoma (ccRCC). Two hundred twenty-seven patients with ccRCC were retrospectively recru...

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Detalles Bibliográficos
Autores principales: He, Xiaopeng, Zhang, Hanmei, Zhang, Tong, Han, Fugang, Song, Bin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer Health 2019
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6336585/
https://www.ncbi.nlm.nih.gov/pubmed/30633175
http://dx.doi.org/10.1097/MD.0000000000013957

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6336585/
https://www.ncbi.nlm.nih.gov/pubmed/30633175
http://dx.doi.org/10.1097/MD.0000000000013957

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