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. Author manuscript; available in PMC: 2022 Dec 1.
Published in final edited form as: IEEE Trans Med Imaging. 2021 Nov 30;40(12):3507–3518. doi: 10.1109/TMI.2021.3089547

TABLE II.

Comparison among different models in terms of CREMI-score, F1-Score, and AUC on the validation set. The best performance is in bold.

Model CREMI-score(↓) AUC(↑) F1-score(↑)
SegNet 72.32 0.883 0.842
3D U-Net 64.27 0.875 0.837
V-Net 65.73 0.896 0.858
ResUnet 59.64 0.909 0.874
AttnUnet 57.34 0.914 0.878
CleftNet 50.50 0.938 0.895