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Integrated MRI Multi-Parameter Reinforcement Fusion Generator with Attention Network for Synthesizing Absent Data

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MRI_IMPORTANT_NET

Integrated MRI Multi-Parametric Increment Fusion Generator with Attention Network for Synthesizing Absent Data

Notes:

  • scrs/config.py : Dataset and training configurations.
  • scrs/attention.py : Detailed information on parameter attention.
  • scrs/fusion.py : Detailed information on fusion methods.
  • scrs/losses.py :Detailed information on losses.
  • scrs/models.py :Detailed information on all models.
  • scrs/train.py :Train the IMPARTANT-NET.

Model details

  • Flowchart image

  • IMPORTANT-Net image

  • Multi-parameter fusion with attention (MPFA) image

  • Hierarchical increment generation module image

Visualization

  • Breast (axial) image

  • Breast (coronal and sagittal) image

  • Brain (axial) image

Downstream task

Segmentation results. image

Contact details

If you have any questions please contact us.

Email: ritse.mann@radboudumc.nl (Ritse Mann); taotanjs@gmail.com (Tao Tan); t.zhang@nki.nl (Tianyu Zhang)

Links: Netherlands Cancer Institute, Radboud University Medical Center and Maastricht University

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