Geometric and dosimetric evaluation of deep learning based auto-segmentation for clinical target volume on breast cancer.

Current geometric metrics could reflect a certain degree of dose effect of target variation. To find target contour variations that do lead to OARs dosimetry changes, clinically oriented metrics that more accurately reflect how segmentation quality affects dosimetry should be constructed.