KieDani/Submission_2nd_Covid19_Competition
This is our submission for the 2nd Covid19 Competition (severity prediction and infection detection)
This project helps medical professionals or researchers analyze 3D CT scans to detect COVID-19 infection and predict its severity. You provide CT scan images as input, and it outputs a prediction of whether the patient has COVID-19 and, if so, how severe it is. This tool is designed for medical imaging specialists, radiologists, or clinical researchers working with COVID-19 diagnostics.
No commits in the last 6 months.
Use this if you need to automatically analyze CT scans for COVID-19 detection and severity prediction using pre-trained deep learning models.
Not ideal if you are looking for a plug-and-play web application or if you do not have access to 3D CT scan data.
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Language
Jupyter Notebook
License
MIT
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Last pushed
Jan 26, 2023
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