mlmed/torchxrayvision

Health v2 · maintenance only

Flags: no_license

Adoption not part of the score

1183 stars · 256 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

TorchXRayVision is an open-source PyTorch library providing pre-trained deep learning models and a unified interface for publicly available chest X-ray datasets. It bundles classifiers for pathology detection, segmentation models, autoencoders, and feature extractors with consistent preprocessing so models and datasets can be swapped with minimal code changes.

Use cases

• classify chest X-rays for pathologies like pneumonia, cardiomegaly, and pneumothorax without training from scratch
• extract feature vectors from chest radiographs for few-shot or transfer learning
• load and preprocess multiple public chest X-ray datasets through one uniform interface
• evaluate model robustness across external datasets and distributional shifts
• use pre-trained models as baselines for new medical imaging research
• segment anatomical structures in chest radiographs
• run inference on DICOM or JPEG X-ray images in a Python pipeline

When to choose

• you need pre-trained chest X-ray models for research, prototyping, or feature extraction
• you want to benchmark across many public CXR datasets with consistent preprocessing
• you are building a PyTorch pipeline and want differentiable models that integrate seamlessly
• you need rapid analysis of large radiograph cohorts without training from scratch

When to avoid

• you need a clinically validated diagnostic tool - the library is explicitly not for medical or clinical decision making
• you work with imaging modalities other than chest X-rays
• you need a non-PyTorch framework like TensorFlow or ONNX-only deployment
• you require guaranteed trained outputs for every pathology label - some model heads may be untrained

Facets

library · maturity active

machine-learning deep-learning image-processing computer-vision sdk healthcare machine-learning deep-learning python cross-platform chest-xray medical-imaging pytorch pretrained-models transfer-learning feature-extraction radiology dataset-loading pathology-classification segmentation autoencoder research-tool not-for-clinical-use research gpu

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markdown · JSON · MCP: product_card(name="mlmed/torchxrayvision")