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Various deep-learning architectures have been proposed for medical image analysis in recent times. For example, the U-Net-based models, not to forget the nnU-Net framework, set the current gold standard in medical image segmentation. More recently, vision transformers have been adopted for medical image processing, improving accuracy even further.

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Abstract: Neural Cellular Automata Learn and Predict on Low-Power Devices

  • 会议论文

  • 发表日期：

    2025年

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  • Nick Lemke,
  • Mirko Konstantin,
  • Henry Krumb,
  • John Kalkhof,
  • Anirban Mukhopadhyay

摘要

Various deep-learning architectures have been proposed for medical image analysis in recent times. For example, the U-Net-based models, not to forget the nnU-Net framework, set the current gold standard in medical image segmentation. More recently, vision transformers have been adopted for medical image processing, improving accuracy even further.