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Found 3 papers, 3 papers with code
Challenges in Multi-centric Generalization: Phase and Step Recognition in Roux-en-Y Gastric Bypass Surgery
The use of multi-centric training data, experiments 6) and 7), improves the generalization capabilities of the models, bringing them beyond the level of independent mono-centric training and validation (experiments 1) and 2)).
Advancing Surgical VQA with Scene Graph Knowledge
We highlight that the primary limitation in the current surgical VQA systems is the lack of scene knowledge to answer complex queries.
Learning Multi-modal Representations by Watching Hundreds of Surgical Video Lectures
SurgVLP constructs a new contrastive learning objective to align video clip embeddings with the corresponding multiple text embeddings by bringing them together within a joint latent space.
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