A simple and robust classification tree for differentiation between benign and malignant lesions in MR-mammography.
Department of Radiology, Division of Molecular and Gender Imaging, Medical University Vienna, Währinger Gürtel 18-20, Vienna, Austria.
Pascal A T
PA
Baltzer
Matthias
M
Dietzel
Tobias
T
Gröschel
Werner A
WA
Kaiser
D000465:Algorithms; D001185:Artificial Intelligence; D001943:Breast Neoplasms / Q000473:pathology*; D003937:Diagnosis, Differential; D005260:Female; D006801:Humans; D007089:Image Enhancement / Q000379:methods; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D008279:Magnetic Resonance Imaging / Q000379:methods*; D008327:Mammography / Q000379:methods; D015588:Observer Variation; D010363:Pattern Recognition, Automated / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity