AI Research
Open ultrasound foundation model for robust segmentation and clinical measurement across heterogeneous settings
Unifying medical imaging data to overcome fragmentation in clinical AI diagnostics.
Ultrasound is the most widely deployed imaging modality worldwide, yet clinical AI remains fragmented into narrow single-task models that fail when device, operator, or anatomy changes. Here we present SonoCorpus, an open resource unifying 456,963 images and 1,626,085 expert mask...
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ArXiv CS.CV
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2 min
ArXiv CS.CV
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SonoCorpus marks a pivotal shift from narrow, brittle ultrasound models toward a generalized foundation architecture capable of universal clinical application. By standardizing massive heterogeneous datasets, this research effectively bridges the gap between lab-based performance and real-world clinical reliability.
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