Instructions to use mostafapasha/ribs-segmentation-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use mostafapasha/ribs-segmentation-model with Keras:
# !pip install -U keras tensorflow huggingface_hub # Keras needs TensorFlow installed to read "hf://" paths, so the tensorflow backend is selected here; # "jax" and "torch" also work for computation once TensorFlow is installed. import os os.environ["KERAS_BACKEND"] = "tensorflow" import keras model = keras.saving.load_model("hf://mostafapasha/ribs-segmentation-model") - Notebooks
- Google Colab
- Kaggle
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README.md
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---
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tags:
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- xray-ribs-segmentation
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library_name: keras
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---
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## Model description
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The original idea from [ResUNET++](https://arxiv.org/pdf/1911.07067.pdf)
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Full credits go to [SynthesisHealthIntelligenceInc](https://synthesishealthinc.com/)
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Ribs segmentation is a crucial step for removing the ribs before a diagnosis of x-ray images
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## Dataset
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[vindr-ribs](https://vindr.ai/datasets/ribcxr)
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