Skip to main content
. 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 V.

Comparison among ResUnet, AttnUnet, CleftNet without feature augmentor (FA), CleftNet without lable augmentor (LA), and CleftNet in terms of CREMI-score and F1-Score on the test data.

Model CREMI-score(↓) F1-score(↑)
ResUnet 66.50 0.813
AttnUnet 65.19 0.812
CleftNet w/o FA 59.11 0.820
CleftNet w/o LA 59.03 0.823
CleftNet 57.73 0.831