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SAM4EM: Efficient Memory-Based Two Stage Prompt-Free Segment Anything Model Adapter for Complex 3D Neuroscience Electron Microscopy Stacks

  • King Abdullah University of Science and Technology
  • University of Turin

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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Neuroscience

Computer Science