TorchXRayVision: A library of chest X-ray datasets and models. Classifiers, segmentation, and autoencoders.

Benchmarks on NIH Chest X-ray 14 dataset

Gusarev's bone suppression method

Lung Masking/Segmentation from Chest X-Rays using a custom modified lightweight U-Net Architecture,

Projective Transformation Rectification Network Official Implementation

Automatic creation of annotations for chest radiographs based on the positional information extracted from radiographic image reports

Implements a UNet-based medical image segmentation framework for precise detection of the carina and endotracheal tube tip, supporting automated clinical evaluation of airway placement.

Using Neural Networks on Chest Xrays to find abnormal and normal xrays to diagnose for Pulmonary Tuberculosis

🫁 Automate ETT and Carina segmentation on chest radiographs for faster, accurate assessments, improving patient care and treatment efficiency.