Image Segmentation
Transformers
Safetensors
cxr_basic
feature-extraction
chest_x_ray
x_ray
medical_imaging
radiology
segmentation
classification
lungs
heart
custom_code
Instructions to use ianpan/chest-x-ray-basic with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ianpan/chest-x-ray-basic with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-segmentation", model="ianpan/chest-x-ray-basic", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ianpan/chest-x-ray-basic", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
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README.md
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Validation performance as follows:
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Segmentation (Dice
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Right Lung: 0.853
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Left Lung: 0.844
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Heart: 0.839
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Validation performance as follows:
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```
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Segmentation (Dice similarity coefficient):
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Right Lung: 0.853
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Left Lung: 0.844
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Heart: 0.839
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