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Florida Institute of Technology
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Hybrid modeling techniques can drastically improve the accuracy of brain tumor predictions, reducing errors by over 84% and optimizing treatment schedules for better patient outcomes.
Answering complex questions about 4D scenes just got a whole lot better: PanopticQuery leverages multi-view semantic consensus to transform noisy, view-dependent predictions into globally consistent 4D interpretations.
SAM's impressive zero-shot segmentation abilities don't directly translate to medical imaging, but this new fine-tuning approach unlocks its potential for accurate nuclei instance segmentation with minimal added parameters.
