Divyam6969/Pneumonia-Detection-using-FastAI
This project uses a pre-trained ResNet50 model from the FastAI library to detect pneumonia in chest X-rays. The dataset which is available on kaggle is used for training the model which classifies the chest xray as NORMAL, VIRAL or BACTERIAL and this project is deployed on Flask
This project helps medical professionals quickly analyze chest X-rays to identify pneumonia. By uploading an X-ray image, the system classifies it as Normal, Viral Pneumonial, or Bacterial Pneumonial, providing immediate diagnostic assistance. This tool is designed for radiologists, general practitioners, or medical technicians who need rapid, AI-powered preliminary readings.
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Use this if you are a medical professional seeking an AI-powered second opinion for classifying chest X-rays for pneumonia type (viral vs. bacterial) or normal status.
Not ideal if you need a certified medical diagnostic tool or a solution for managing patient records.
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Jupyter Notebook
License
MIT
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Last pushed
Jan 02, 2024
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