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Reducing manual workload in CT and MRI annotation with the Segment Anything Model 2

Leo Misera1,2, Sven Nebelung3, Zunamys I Carrero2

  • 1Institute and Polyclinic for Diagnostic and Interventional Radiology, Faculty of Medicine and University Hospital Carl Gustav Carus Dresden, Technical University Dresden, Dresden, Germany.

BMC Medical Imaging
|January 8, 2026
PubMed
Summary

No abstract available in PubMed .

Keywords:
CTDeep learningImage annotationMRIRadiologySegment anything modelSegmentation

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