mlmed/torchxrayvision
torchxrayvision
TorchXRayVision: A library of chest X-ray datasets and models. Classifiers, segmentation, and autoencoders.
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mlmed
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Mar 4, 2020
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TorchXRayVision is a comprehensive PyTorch library that provides access to multiple chest X-ray datasets and pre-trained models for medical imaging analysis. The library includes functionality for classification, segmentation, and autoencoder models specifically designed for chest X-ray interpretation. It aims to standardize and simplify the use of chest X-ray data and models for research and clinical applications.
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Updated 6 months ago
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- Project created
- Mar 4, 2020
- Forked
- Mar 23, 2026
- Your last push
- 6 months ago
- Upstream last push
- 6 months ago
- Tracked since
- Sep 18, 2025
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