AboutΒΆ

Xlearn implements Deep Neural Network to X-ray science imaging problems including:

  • Tomography rotation axis calibration [A3].
  • Low-dose image enhancement [A2].
  • Feature extraction, segmentation [A1].
  • Super-resolution X-ray microscopy (will update later).
  • Solving inverse problems with deep learning, such as tomography reconstruction and phase retrieval (will update late).