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v1.7.0

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@jgrss jgrss released this 09 Mar 18:15
· 13 commits to main since this release
8ab9e68

What changed?

  • Improved and fixed issues in the ResUNet 3+ Psi architecture, which was introduced in v1.6.5
  • More flexible user arguments. The user can now specify:
    • the model architecture
    • convolution blocks
    • dilations
    • attention weights
  • Improvements in the train optimizer stability
  • Deep supervision
    • Cultionet uses the UNet 3+ style of deep supervision along three decoders
      • These are optional during training
  • Improved training efficiency using PyTorch’s parallel data loader
  • Improved inference efficiency using PyTorch’s batch loader