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ducknet-tensorflow

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RazvanDu / DUCK-Net

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Using DUCK-Net for polyp image segmentation. ( Nature Scientific Reports 2023 )

machine-learning computer-vision cnn medical-imaging segmentation convolutional-neural-networks image-segmentation convolutional-neural-network cnn-keras medical-image-processing u-net cnn-for-visual-recognition image-segmentation-tensorflow medical-image-segmentation tensorflow2 polyp-segmentation polyp-segmentation-task duck-net ducknet-tensorflow ducknet-keras
  • Updated Nov 27, 2023
  • Jupyter Notebook
BraTS-PolypSegmentation

shrprabh / BraTS-PolypSegmentation

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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.

python data machine-learning image supervised-learning imageprocessing neuralnetworks datacollection unet-image-segmentation datapreparation braintumorsegmentation modelevaluation brats2020 featureselection ducknet-tensorflow ducknet-keras datatraining ducknet
  • Updated Dec 6, 2024
  • Jupyter Notebook

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