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Politecnico di Milano, Istituto Europeo di Oncologia
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Pretrained vision transformers can achieve state-of-the-art medical image segmentation with significantly less labeled data, outperforming fully supervised convolutional networks even when trained on only 25% of the dataset.
Neurosurgeons gain a compact, sterilizable RCM joint with near-isotropic stiffness, minimizing unwanted motion during delicate procedures.
Achieve robust surgical video question answering by injecting temporal awareness into parameter-efficient fine-tuning, outperforming standard PEFT methods on out-of-template questions.
