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. Author manuscript; available in PMC: 2023 Aug 25.
Published before final editing as: IEEE Trans Med Imaging. 2022 Feb 25;PP:10.1109/TMI.2022.3154934. doi: 10.1109/TMI.2022.3154934

TABLE II.

Tumor segmentation accuracies produced by various methods. Reg - registration, Seg - segmentation.

Method Testing (Number=54)
DSC sDSC HD95 mm
Affine Reg 0.71±0.14 0.87±0.14 7.31±3.65
SyN [26] 0.72±0.14 0.88±0.13 7.03±3.52
Voxelmorph [34] 0.75±0.13 0.92±0.11 5.62±3.05
R2N2 [24] 0.74±0.13 0.91±0.10 6.12±2.85
U-ReSNet [15] 0.73±0.14 0.90±0.12 6.44±3.33
Recursive [30] 0.77±0.11 0.93±0.08 5.38±2.57
3D Unet [46] 0.61±0.15 0.83±0.15 16.72±23.50
Mask RCNN [47] 0.64±0.16 0.82±0.14 20.53±23.29
Cascaded Net [48] 0.63±0.16 0.81±0.14 22.61±23.42
PACS-aware Reg 0.81±0.08 0.97±0.05 4.15±1.82
Full-shot PACS seg 0.84±0.08 0.98±0.04 3.33±2.02
One-shot PACS seg 0.83±0.08 0.97±0.06 3.97±3.06