Researchers adapted the BEATs audio transformer framework to identify pig distress vocalizations in commercial barn recordings, achieving 94.5 percent accuracy ...
A semi-supervised diffusion model accurately segments vascular plaques across multiple arteries on non-contrast CT scans using only fourteen labeled training ...
A semi-supervised framework that guides segmentation networks with signed distance maps achieved stronger boundary delineation on two breast cancer histopathology ...
A semi-supervised adversarial autoencoder detects gait phases in real time for post-stroke exoskeleton control, reaching 93.79% accuracy with only 10% ...
The finding that ear visibility dominates the attribute landscape of DeepFake detection errors deserves closer scrutiny, because it connects to ...
Medical imaging has become one of the most promising arenas for artificial intelligence, but the technology has long been held ...
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