Fuhrman nuclear grade prediction of clear cell renal cell carcinoma: influence of volume of interest delineation strategies on machine learning-based dynamic enhanced CT radiomics analysis

2021 ◽  
Author(s):  
Shiwei Luo ◽  
Ruili Wei ◽  
Songlin Lu ◽  
Shengsheng Lai ◽  
Jialiang Wu ◽  
...  
Keyword(s):  
Machine Learning ◽  
Renal Cell Carcinoma ◽  
Cell Carcinoma ◽  
Renal Cell ◽  
Clear Cell ◽  
Nuclear Grade ◽  
Cell Renal Cell Carcinoma ◽  
Grade Prediction ◽  
Volume Of Interest ◽  
Enhanced Ct

scholarly journals Coupled Mass-Spectrometry-Based Lipidomics Machine Learning Approach for Early Detection of Clear Cell Renal Cell Carcinoma

2020 ◽  
Vol 20 (1) ◽  
pp. 841-857
Author(s):  
Malena Manzi ◽  
Martín Palazzo ◽  
María Elena Knott ◽  
Pierre Beauseroy ◽  
Patricio Yankilevich ◽  
...  
Keyword(s):  
Machine Learning ◽  
Mass Spectrometry ◽  
Renal Cell Carcinoma ◽  
Early Detection ◽  
Cell Carcinoma ◽  
Renal Cell ◽  
Clear Cell ◽  
Learning Approach ◽  
Cell Renal Cell Carcinoma ◽  
Machine Learning Approach

Utility of the Apparent Diffusion Coefficient for Distinguishing Clear Cell Renal Cell Carcinoma of Low and High Nuclear Grade

2010 ◽  
Vol 195 (5) ◽  
pp. W344-W351 ◽  
Author(s):  
Andrew B. Rosenkrantz ◽  
Benjamin E. Niver ◽  
Erin F. Fitzgerald ◽  
James S. Babb ◽  
Hersh Chandarana ◽  
...  
Keyword(s):  
Renal Cell Carcinoma ◽  
Diffusion Coefficient ◽  
Apparent Diffusion Coefficient ◽  
Cell Carcinoma ◽  
Renal Cell ◽  
Clear Cell ◽  
Nuclear Grade ◽  
Cell Renal Cell Carcinoma ◽  
High Nuclear Grade ◽  
Apparent Diffusion
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