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Home Page: https://towardsdatascience.com/using-deep-learning-to-detect-ncov-19-from-x-ray-images-1a89701d1acd

License: MIT License

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covid-19-scanner's Introduction

Coronavirus disease 2019 (COVID-19) X-Ray Scanner

I built a CNN neural network that classifies a given Chest X-ray as positive for pneumonia caused by COVID-19 or not. This model is originally meant to demonstrate a proof-of-concept. The model was trained, and accepts, Posteroanterior views only.

Resources

Final Model (Use with Pytorch) : https://drive.google.com/file/d/1OStKuxVubfb01QoMvfsM3alWI8BUDnsv/view?usp=sharing

Primary Dataset used: https://github.com/ieee8023/covid-chestxray-dataset

Secondary Dataset: https://www.kaggle.com/paultimothymooney/chest-xray-pneumonia

Test_results: check the csv file in the repository

Rationale/More information: https://towardsdatascience.com/using-deep-learning-to-detect-ncov-19-from-x-ray-images-1a89701d1acd

LICENSE

Creative Commons Licence

covid-19-scanner's People

Contributors

ajsanjoaquin avatar

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