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Zhejiang University
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Misclassifications in biomedical imaging can be drastically reduced with BioMedVR's confusion-aware approach, leading to superior model performance in critical healthcare applications.
Synthetic data that looks good can still tank your model's performance – Optimsyn uses influence functions to find the *actually* useful synthetic examples and optimize your generation rubrics.
Directly modeling 3D geometry in dental scans unlocks a 9.58% accuracy boost in multi-disease diagnosis compared to methods relying on 2D or multi-view image representations.
