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real-time-inference

topic1 events
papersTODAY 04:00 UTC

Real-time foundation model for endoscopy supports task-specific fine-tuning

Researchers present woma, a foundation model trained without labels on roughly one million gastrointestinal endoscopy frames. Task-specific models are then fine-tuned from this base, and the authors describe a systematic design intended for production deployment, including requirements and performance targets. The work targets real-time use in clinical endoscopy workflows.

foundation-models/medical-imaging/fine-tuning/real-time