The coronavirus pandemic in 2020 , also known as COVID-19, continues to infect more than 500,000 people daily even after the widespread vaccination against it. The common method used to detect COVID-19 is PCR tests, however some facilities might not have enough equipment and trained professionals for the amount of tests needed. Therefore our team proposes to detect COVID-19 through chest X-rays (CXR), which can minimize transportation of patients with portable radiography units which are easy to disinfect. Our project consisted of two parts.
Our project consisted of two parts.
- First, using a Convolutional Neural Networks (CNN), our project aims at determining if X-ray images represent healthy patients or COVID-19 patients and propose this innovative method of COVID-19 detection.
- Second, we used Gradient-weighted Class Activation Mapping (Grad-CAM) to determine which area of the CXR is essential for analyses.
By the end of this project, we were able to determine whether a patient has COVID-19 with an accuracy of (data), found the key area of analysis for the result which is (data), and have made a website for better user experience. Covid dectection website
The full submission on the dev post can be accessed through here
A short report on this project can be found here
A 5min presentation is prepared. The recording of the presentation can be accessed from here
Access the slides from here
The CNN model and visualization code is developed in jupiter notebook. Access the code from here
We are a 5 member team participating the 2021 McGill McMedHacks from various backgrounds
| Name | Github | Short Description |
|---|---|---|
| Martin Gallois | MartinGALLOIS | McGill undergrad in Physics (BS Pysics) |
| Karim Jabbour | KarimJabbour | Concordia University U2 Bachelors in Computer Science (BS Computer Science) |
| Yinan Wang | Yinan2 | McGill Master-thesis in Computer vision and image processing (MSc Electrical Engineering) |
| Yichen Wu | yichenemma | McGill U2 undergrad in Software Engineering (BS Software Engineering) |
| Jessica Zhang | SiqiZhang6 | University of Toronto U1 undergrad in Computer Science (BS Computer Science) |
| Name | Role | Contributions |
|---|---|---|
| Martin Gallois | Software Developer |
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| Karim Jabbour | Software Developer |
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| Yinan Wang | Software Developer |
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| Yichen Wu | Software Developer |
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| Jessica Zhang | Documentation Lead |
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