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Bawil
/
wmh_leverage_normal_abnormal_segmentation

Image Segmentation
Flair
Keras
tensorflow
medical-imaging
white-matter-hyperintensities
mri
deep-learning
neurology
multiple-sclerosis
Model card Files Files and versions
xet
Community

Instructions to use Bawil/wmh_leverage_normal_abnormal_segmentation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Flair

    How to use Bawil/wmh_leverage_normal_abnormal_segmentation with Flair:

    from flair.models import SequenceTagger
    
    tagger = SequenceTagger.load("Bawil/wmh_leverage_normal_abnormal_segmentation")
  • Keras

    How to use Bawil/wmh_leverage_normal_abnormal_segmentation with Keras:

    # Available backend options are: "jax", "torch", "tensorflow".
    import os
    os.environ["KERAS_BACKEND"] = "jax"
    
    import keras
    
    model = keras.saving.load_model("hf://Bawil/wmh_leverage_normal_abnormal_segmentation")
    
  • Notebooks
  • Google Colab
  • Kaggle
wmh_leverage_normal_abnormal_segmentation
3.45 GB
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  • 1 contributor
History: 39 commits
Bawil's picture
Bawil
Update attention_unet/leverage_summary.txt
ab8e6fe verified 3 months ago
  • attention_unet
    Update attention_unet/leverage_summary.txt 3 months ago
  • deeplabv3plus
    Update deeplabv3plus/leverage_summary.txt 3 months ago
  • transunet
    Update transunet/leverage_summary.txt 3 months ago
  • unet
    Update unet/leverage_summary.txt 3 months ago
  • .gitattributes
    3.44 kB
    Upload 18 files 5 months ago
  • README.md
    8.68 kB
    Update README.md 5 months ago