SurgRFO uses a foundation model for RFO-free background synthesis followed by patch-based RFO compositing to generate training data that improves detection sensitivity and matches real-image realism in clinician ratings.
arXiv preprint arXiv:2401.01539 (2024)
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SurgRFO: Foundation Model Based Compositional Synthesis of Critical Retained Foreign Objects in Intraoperative Chest X-rays
SurgRFO uses a foundation model for RFO-free background synthesis followed by patch-based RFO compositing to generate training data that improves detection sensitivity and matches real-image realism in clinician ratings.