Capturing implicit hierarchical structure in 3D biomedical images with self-supervised hyperbolic representations

Oct-9-2025, 14:34:52 GMT–Neural Information Processing Systems

We consider the task of representation learning for unsupervised segmentation of 3D voxel-grid biomedical images.

artificial intelligence, machine learning, segmentation, (21 more...)

Neural Information Processing Systems

Oct-9-2025, 14:34:52 GMT

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Country:
- Asia > Japan
  - Honshū > Chūbu > Nagano Prefecture > Nagano (0.05)
- North America > United States
  - California > Santa Clara County > Palo Alto (0.05)

Industry:
- Health & Medicine
  - Diagnostic Medicine > Imaging (1.00)
  - Therapeutic Area (0.68)

Technology:
- Information Technology
  - Artificial Intelligence
    - Machine Learning
      - Neural Networks > Deep Learning (0.47)
      - Statistical Learning (0.94)
    - Vision > Image Understanding (0.68)
  - Data Science (0.93)
  - Sensing and Signal Processing > Image Processing (1.00)

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