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Department of Quantitative Biomedicine, University of Zurich, Switzerland, International School of Medicine, Istanbul Medipol University, Turkey
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Ditch fixed-size 3D blocks: SigVLP uses rotary embeddings to let vision-language models handle CT volumes with variable slice counts, unlocking better pre-training.