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Table 3 Sensitivity, specificity and AUC obtained from previously trained models inferring on the external validation cohort with corresponding data correction

From: Prediction of lipomatous soft tissue malignancy on MRI: comparison between machine learning applied to radiomics and deep learning

Dataset

Classifier

Sensitivity (%)

Specificity (%)

AUC

Images

ResNet50

92

24

0.64

Radiomics

LR

1

0

0.50

SVM

70

32

0.47

RF

64

68

0.71

GB

67

64

0.70

Radiomics with batch correction

LR

1

0.07

0.54

SVM

47

57

0.48

RF

53

86

0.75

GB

97

61

0.80

  1. AUC area under the curve, CNN convolutional neural networks, FE feature extraction, XGB Xgboost, GB gradient boosting, LR logistic regression, RF random forest, SVM support vector machine