GeoRouv/pneumonia-detection
🎈 A two-headed classification model to detect pneumonia using neural networks and traditional machine learning.
This tool helps medical professionals or radiologists quickly assess chest X-ray images for signs of pneumonia. You input a chest X-ray image, and it outputs a classification indicating whether pneumonia is detected or not. It's designed for clinicians who need an automated assistant for preliminary X-ray interpretation.
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Use this if you are a healthcare practitioner or radiologist looking for an automated system to assist in the initial screening of chest X-rays for pneumonia.
Not ideal if you need a diagnostic tool that identifies the specific type of pneumonia (bacterial, viral, fungal) or provides detailed lesion analysis beyond a simple 'pneumonia detected' classification.
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Language
Jupyter Notebook
License
MIT
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Last pushed
Jun 09, 2022
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