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Fig. 7.

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ZDB-FIG-230916-88
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Lauenburg et al., 2023 - 3D Domain Adaptive Instance Segmentation Via Cyclic Segmentation GANs
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Fig. 7.

Visual comparisons of segmentation results. (a) ExM image, (b) ground-truth instances, (c) Cellpose [3], (d) StarDist [4] and (e) CySGAN results. The red arrows highlight false negatives in Cellpose predictions and overlapping masks from StarDist. We also show (f-h) the predicted segmentation representations of U3D-BCD used in CySGAN. Note that all the nuclei instances are 3D as shown in Fig. 5. We present representative 2D slices in this visualization to demonstrate the model performance.

Expression Data

Expression Detail
Antibody Labeling
Phenotype Data

Phenotype Detail
Acknowledgments
This image is the copyrighted work of the attributed author or publisher, and ZFIN has permission only to display this image to its users. Additional permissions should be obtained from the applicable author or publisher of the image. Full text @ IEEE J Biomed Health Inform