kaushikjadhav01/COVID-19-Detection-Flask-App-based-on-Chest-X-rays-and-CT-Scans
COVID-19 Detection Chest X-rays and CT scans: COVID-19 Detection based on Chest X-rays and CT Scans using four Transfer Learning algorithms: VGG16, ResNet50, InceptionV3, Xception. The models were trained for 500 epochs on around 1000 Chest X-rays and around 750 CT Scan images on Google Colab GPU. A Flask App was later developed wherein user can upload Chest X-rays or CT Scans and get the output of possibility of COVID infection.
This tool helps medical professionals quickly assess the possibility of COVID-19 infection. You upload a patient's Chest X-ray or CT scan image, and it provides an output indicating the likelihood of COVID-19. Radiologists and doctors can use this to aid in their diagnostic process.
129 stars. No commits in the last 6 months.
Use this if you are a medical professional needing a rapid, AI-assisted pre-screening or second opinion for COVID-19 detection from medical imaging.
Not ideal if you need a definitive diagnosis for clinical treatment, as this tool is for preliminary assessment and not a substitute for comprehensive medical evaluation.
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129
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Jupyter Notebook
License
MIT
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Last pushed
Jan 13, 2024
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