Keyphrases
Magnetic Resonance
100%
Machine Learning Models
100%
Radiologists
100%
Small Renal Mass
100%
Resonance Characteristics
100%
Small Renal Tumors
100%
Malignant Lesions
22%
Benign Lesion
22%
Random Forest Regression
22%
Oncocytoma
22%
Recursive Partitioning
22%
Ensemble Methods
22%
Fat-poor Angiomyolipoma
22%
Model-based Recursive Partitioning
22%
High Sensitivity
11%
Magnetic Resonance Imaging
11%
High Specificity
11%
Imaging Characteristics
11%
Training Data
11%
Multi-parameter
11%
Clear Cell Renal Cell Carcinoma (ccRCC)
11%
Subtype Classification
11%
Chromophobe RCC
11%
Chromophobe Renal Cell Carcinoma (chRCC)
11%
Papillary Renal Cell Carcinoma (pRCC)
11%
Random Forest
11%
Training Performance
11%
Random Forest Method
11%
MR Imaging Feature
11%
Machine Model
11%
Marginal Homogeneity
11%
Nursing and Health Professions
Radiologist
100%
Kidney Tumour
100%
Random Forest
40%
Recursive Partitioning
40%
Renal Cell Carcinoma
20%
Oncocytoma
20%
Angiomyolipoma
20%
Imaging
10%
Sensitivity and Specificity
10%
Biochemistry, Genetics and Molecular Biology
Recursive Partitioning
100%
Random Forest
100%
Subtyping
25%
Magnetic Resonance Imaging
25%
Medicine and Dentistry
Kidney Tumour
100%
Recursive Partitioning
40%
Clear Cell Renal Cell Carcinoma
20%
Oncocytoma
20%
Angiomyolipoma
20%
Sensitivity and Specificity
10%
Papillary Renal Cell Carcinomas
10%
Magnetic Resonance Imaging
10%
Neuroscience
Magnetic Resonance Imaging
100%