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. Author manuscript; available in PMC: 2023 Jun 3.
Published in final edited form as: IEEE/ACM Trans Comput Biol Bioinform. 2022 Jun 3;19(3):1387–1392. doi: 10.1109/TCBB.2021.3085608

Table 2.

The performance of our Mask-RCNN based models on our local validation set of 42 CT scans.

Model K+T Dice T Dice
Mask-RCNN Axial + post-processing 0.340 0.098
Mask-RCNN Coronal + post-processing 0.400 0.073
Mask-RCNN Sagittal + post-processing 0.463 0.079
Mask-RCNN Ensemble + post-processing 0.724 0.166