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Unified vision-language model targets PSMA PET/CT reporting, VQA, and lesion segmentation

Researchers present a single vision-language model designed to handle three prostate cancer imaging tasks at once: generating PET/CT reports, answering visual questions, and segmenting lesions. The work argues that prior PET/CT AI systems typically tackle these tasks in isolation, and that combining them may improve clinical usefulness.

Lesion SegmentationPET/CT ReportingPSMA PET/CTProstate Cancervisual question answering

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