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. 2022 Mar 25;23(7):e13595. doi: 10.1002/acm2.13595

TABLE 1.

Summary of loss functions and hyper‐parameters

Functions Purpose Hyper‐parameters Value
losscycle Cycle consistency loss, GCBCT→CT = GCT→CBCT λcycle 10.0
lossadv Adversarial loss, synthetizes realistic images λadv 1.0
lossgrad Gradient loss, preserves edges and structures λgrad 1.0
lossidem Idempotent loss, idempotency preservation λidem 1.0
losstv Total variation regularization loss, produce spatially uniform images λtv 1.0