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Himel000
/
kidney-tumor-efficientnetb4

Image Classification
Keras
English
medical-imaging
kidney-tumor
efficientnet
grad-cam
explainable-ai
tensorflow
deep-learning
Eval Results (legacy)
Model card Files Files and versions
xet
Community

Instructions to use Himel000/kidney-tumor-efficientnetb4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Keras

    How to use Himel000/kidney-tumor-efficientnetb4 with Keras:

    # Available backend options are: "jax", "torch", "tensorflow".
    import os
    os.environ["KERAS_BACKEND"] = "jax"
    
    import keras
    
    model = keras.saving.load_model("hf://Himel000/kidney-tumor-efficientnetb4")
    
  • Notebooks
  • Google Colab
  • Kaggle
kidney-tumor-efficientnetb4
79.1 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
Himel000's picture
Himel000
Update Readme.md
e012dcf verified 17 days ago
  • reports
    Add evaluation reports — AUC: 98.38% 23 days ago
  • .gitattributes
    1.57 kB
    Add trained EfficientNetB4 kidney tumor model - val_accuracy: 99.46% 23 days ago
  • README.md
    7.85 kB
    Update Readme.md 17 days ago
  • model.keras
    78.9 MB
    xet
    Add trained EfficientNetB4 kidney tumor model - val_accuracy: 99.46% 23 days ago