Table 2 An Overview of the radiomics techniques in digital breast tomosynthesis

[63]

Linear regression

DBT

Private

Cases = 40

AUC = 0.567

[64]

Correlation analysis and ULR

DBT

Private

Women = 70

AUC = 0.698

[66]

Decision tree

CEDM/DBT

Private

Patient = 275, DBT volume = 550

View-based AUC = 0.834, case-based AUC = 0.868

[67]

SVM

DBT

Public

patient = 72, breast lesions = 93

auROC = 0.90, ACC = 87.1

[65]

Random Forest

DBT

Private

Cases = 24, lesions=51

ACC = 72.5, AUC = 0.79

[69]

Logistic Regression

DBT

Private

Patients = 49

SEN = 0.78, SPEC = 0.85, AUC = 0.80, ACC = 0.82

[68]

Ensemble Classifier

SM/DBT

Private

Patients = 365

SEN = 0.833, SPEC = 0.797, AUC = 0.838, ACC = 0.803

[70]

LR/SVM/GDBT

DBT

Private

Patients = 143, lesions = 144

ACC = 0.81, AUC = 0.91