A Temporally Consistent Learning Framework distills temporal coherence into 2D networks for real-time TRUS prostate video segmentation via confidence-weighted consistency, dual-scale prototype alignment, and geometric pseudo-labeling.
arXiv preprint arXiv:2407.00678 (2024)
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Distilling Temporal Coherence into 2D Networks for Transrectal Ultrasound Prostate Video Segmentation
A Temporally Consistent Learning Framework distills temporal coherence into 2D networks for real-time TRUS prostate video segmentation via confidence-weighted consistency, dual-scale prototype alignment, and geometric pseudo-labeling.