mlmed/torchxrayvision
A library of chest X-ray datasets and pre-trained deep learning models for medical image classification and segmentation.

TorchXRayVision is a PyTorch-based open-source library for working with chest X-ray datasets and deep learning models. It provides a unified interface and pre-processing pipeline for multiple publicly available chest X-ray datasets. The library includes pre-trained classification and representation learning models that can serve as baselines or feature extractors, enabling rapid analysis of large medical imaging datasets and few-shot learning workflows.