mlmed/torchxrayvision
TorchXRayVision: A library of chest X-ray datasets and models. Classifiers, segmentation, and autoencoders.
This project helps medical researchers and practitioners analyze chest X-ray images quickly and consistently. It takes in chest X-ray scans and outputs predictions for various medical conditions, anatomical segmentations, or compressed image representations. Radiologists, clinicians, and medical researchers can leverage this tool to identify pathologies or study image features efficiently.
1,122 stars. No commits in the last 6 months. Available on PyPI.
Use this if you need to analyze large sets of chest X-ray images for common pathologies or anatomical features using pre-trained models, or if you are developing new algorithms and need standardized access to multiple X-ray datasets for robust evaluation.
Not ideal if your primary focus is on X-ray imaging of other body parts or if you require models trained on very niche, rare conditions not covered by large public datasets.
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Apache-2.0
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Sep 18, 2025
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