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. 2020 Oct 16;12(10):3010. doi: 10.3390/cancers12103010
AML angiomyolipoma
AUC area under the ROC curve
CD cluster of differentiation
CK cytokeratin
ccRCC clear cell renal cell carcinoma
CT computed tomography
C5.0 boosted classification tree
glmnet elastic net penalized multinomial regression
HE hematoxylin-eosin
HMB human melanoma black
ICC interobserver correlation coefficient
IQR inter-quartile range
KNN k-nearest neighbor
nnet neural network
POM probability of malignancy
RCC renal cell carcinoma
RF random forest
RFE recursive feature elimination
ROC receiver operating characteristics
ROI region of interest
SMOTE synthetic minority oversampling technique
SVM support vector machine
US United States
xgboost extreme gradient boosting