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. 2023 May 26;13(7):4429–4446. doi: 10.21037/qims-22-1230

Table 2. Comparison of selected studies in the breast cancer detection of DCE-MRI datasets.

Author (year) Classifier Sensitivity FPs
Albert et al. (18) Forests 0.95 7.00
Chang et al. (19) Binary logistic 1.0 6.30
Renz et al. (29) ANNs 0.98 0.16
Ours Faster R-CNN 1.0 0.20

DCE-MRI, dynamic contrast-enhanced breast magnetic resonance imaging; ANNs, artificial neural networks; Faster R-CNN, fast region-based convolutional network; FPs, frame per second.