Analyzing X-Ray...

Running pneumothorax segmentation & opacity assessment

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Chest X-Ray Analysis

Multi-label chest pathology assessment, pneumothorax localization and cardiothoracic ratio

Research tool — not a regulated medical device. Their results are not a diagnosis and can be wrong. Every result must be reviewed by a qualified clinician, who remains responsible for the clinical decision.

Pathology scoring: TorchXRayVision (multi-label chest radiograph classification). License: Apache 2.0.

Cardiothoracic ratio: a separate segmentation model outlines both lungs and the heart, then measures the cardiac and thoracic widths.

Pneumothorax localization uses a separate segmentation model on this deployment.

New: lungs, heart and CTR on every run

Running the AI now returns, in addition to the pathology scores and the pneumothorax mask:

  • an image with both lungs and the heart segmented, with the cardiac and thoracic spans drawn on it;
  • a card with the measured cardiothoracic ratio and whether it exceeds the 0.5 cardiomegaly threshold;
  • lung-field areas left vs right, their asymmetry, the cardiac area ratio, and the detected projection (CTR is validated on PA films);
  • when a pneumothorax is found — its approximate share of that hemithorax;
  • all of it written into the downloadable Chest X-Ray Report PDF.

What it does

Screens a chest X-ray for common findings (consolidation, effusion, pneumothorax, cardiomegaly and more) with a multi-label CNN, returning per-finding probabilities and a heat-map of the regions driving each call.

Live example
Example chest X-ray
Example: chest X-ray, PA
Sign in — it’s free — to try it Open a chest X-ray in the PACS worklist and choose “Chest X-Ray”.

This project is free. If you would like to help with hosting and development, you can donate in stablecoins — open the Donate page.

How to donate