FIGURE

Fig. 3.

ID

ZDB-FIG-230916-84

Publication

Lauenburg et al., 2023 - 3D Domain Adaptive Instance Segmentation Via Cyclic Segmentation GANs

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Fig. 3.

Different segmentation losses for two domains. (a) For an annotated image in X, we compute the supervised losses of predicted segmentation representations against the label. (b) For an unlabeled image in Y, we enforce structural consistency between predicted representations (as the underlying structures should be shared) and also segmentation-based adversarial losses to improve the quality of predictions in the absence of paired labels.

Expression Data

Expression Detail

Antibody Labeling

Phenotype Data

Phenotype Detail

Acknowledgments

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