A self-training method uses cross-scan particle matching instead of human labels to train and evaluate 3D particle instance segmentation, reporting 97 percent volume coverage and 54,000+ particles on quartz fragments.
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Self-Validated Learning for Particle Separation: A Correctness-Based Self-Training Framework Without Human Labels
A self-training method uses cross-scan particle matching instead of human labels to train and evaluate 3D particle instance segmentation, reporting 97 percent volume coverage and 54,000+ particles on quartz fragments.