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#

brats2020

Here are 32 public repositories matching this topic...

PyTorch implementation of Two Pathway CNN and Cascaded architectures for automatic brain tumor segmentation on BraTS 2020 MRI dataset. Implements TwoPathCNN, InputCascadeCNN, LocalCascadeCNN, and MFCascadeCNN with two-phase training and fully convolutional inference.

  • Updated Apr 12, 2026
  • Python

End-to-end brain tumor segmentation on BraTS2020 with a modified DUCKNet (U-Net + DenseNet). Includes data preprocessing/augmentation, Keras training loops, and rigorous eval (Dice/IoU), achieving 88.7% validation Dice with 0.010 validation loss. Reproducible notebook and comparisons vs baseline U-Net; trained on A100.

  • Updated Dec 6, 2024
  • Jupyter Notebook

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