MedAI Digest

Few-Shot Learning Enables Rapid, CT-Free PET Imaging Across Clinical Settings


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Researchers have developed CrossPET-Adapt, a machine learning method that eliminates CT scans from PET imaging while adapting to new clinical environments with minimal training data. Original paper: Generalizable CT-free PET attenuation and scatter correction via few-shot cross domain adaptation. — NPJ digital medicine. 10.1038/s41746-026-02760-w 📄 Read the article
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MedAI DigestBy MedAI Digest