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Accelerating Volumetric Medical Image Annotation via Short-Long Memory SAM 2

arXiv — cs.CV•Tuesday, November 4, 2025 at 5:00:00 AM
PositiveArtificial Intelligence
Recent advancements in medical imaging technology, particularly with the Segment Anything Model 2 (SAM 2), are set to revolutionize the labor-intensive process of annotating volumetric medical images like MRIs and CT scans. By allowing users to manually annotate just a few slices and then automatically propagate those annotations across the entire volume, this innovation could save significant time and resources in medical diagnostics. This matters because faster and more accurate image annotation can lead to improved patient outcomes and more efficient healthcare practices.
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