A simple and robust classification tree for differentiation between benign and malignant lesions in MR-mammography
Pascal Baltzer(Medical University of Vienna), Werner A. Kaiser(Friedrich Schiller University Jena), Matthias Dietzel(Friedrich-Alexander-Universität Erlangen-Nürnberg)
Cited by 102
Related Papers
METhodological RadiomICs Score (METRICS): a quality scoring tool for radiomics research endorsed by EuSoMII
|Insights into Imaging|2024|286
Impact of Machine Learning With Multiparametric Magnetic Resonance Imaging of the Breast for Early Prediction of Response to Neoadjuvant Chemotherapy and Survival Outcomes in Breast Cancer Patients
|Investigative Radiology|2018|278
Second International Consensus Conference on lesions of uncertain malignant potential in the breast (B3 lesions)
|Breast Cancer Research and Treatment|2018|251
False-Positive Findings at Contrast-Enhanced Breast MRI: A BI-RADS Descriptor Study
|American Journal of Roentgenology|2010|197
Diffusion-Weighted Imaging With Apparent Diffusion Coefficient Mapping for Breast Cancer Detection as a Stand-Alone Parameter
|Investigative Radiology|2018|161