Radiology Research Frontend
Pneumonia Diagnostic Engine
This interface is designed for fast model-assisted review of chest X-rays, combining a polished upload workflow, readable prediction output, baseline context, and access to the project’s deeper analysis workspace when you need more than a single classification.
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Inference Workspace
Upload a chest X-ray and run the engine
Prediction Console
Readable model output with context
Select an image and run the classifier to see the prediction.
Predicted class
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Workspace and Baseline
Model baseline and research caveats
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Accuracy
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Blind Test Folder
Download 20 unlabeled images for engine testing
Download a ready-to-use folder of unlabeled chest X-ray images and use it to test the full upload, preview, and prediction flow of the engine without seeing the answer in the filename.
20
Total images
Blind
Filename labels withheld
Held-out
Reserved test cases
The download is a zipped folder containing 20 JPEG chest X-ray images with neutral case IDs so the pack works as a blind smoke test.
Navigation Guide
Use each page for one clear purpose
01
Workspace
Run quick predictions, inspect the uploaded image, and read the saved baseline on one uncluttered page.
02
Analysis Lab
Open the dedicated analysis page for dataset composition, split evidence, audit findings, and training traces.
03
API Docs and Future Dev
Use the docs page for integration details and the roadmap page for the next steps that would strengthen the solution.
About Page
Explore the project story and the author behind the engine
Open the dedicated About page to read the full project context, dataset provenance, solution explanation, real-world value, and the complete author profile in one place.