Optimizing Deep Learning Models for Luminal and Nonluminal Breast Cancer Classification Using Multidimensional ROI in DCE-MRI-A Multicenter Study.

In summary, calibration analysis indicates that the models exhibit good calibration across all datasets, with some deviations in specific prediction probability ranges but an overall trend consistent with the ideal calibration line, demonstrating reliable predictions across different datasets. 4 Discussion This multicenter retrospective study of three distinct cohorts investigates the interplay between ROI dimensionality (2D/2.5D/3D), peritumoral expansion distances (0‐8 mm), and segmentation paradigms (ROI Only vs.

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