Geometry-based synthetic data generation with CycleGAN adaptation trains a 3D U-Net that achieves mean IPQ 0.22 on real myotube images, outperforming zero-shot models.
MyoFInDer: an AI-based tool for myotube fusion index determination
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Data Synthesis Improves 3D Myotube Instance Segmentation
Geometry-based synthetic data generation with CycleGAN adaptation trains a 3D U-Net that achieves mean IPQ 0.22 on real myotube images, outperforming zero-shot models.