The dataset used has a large amount of variation in the angles the xrays were taken. This project presents a high resolution neural network to predict the presence of Covid-19 in chest xrays. The validation acuracy consistantly results in above 70% validation accuracy with some datasets presenting higher than 81.25% validation accuracy. The data used for training and validation can be found below. Dataset Trained with -> Joseph Paul Cohen and Paul Morrison and Lan Dao COVID-19 image data collection, arXiv:2003.11597, 2020 https://github.com/ieee8023/covid-chestxray-dataset @article{cohen2020covid, title={COVID-19 image data collection}, author={Joseph Paul Cohen and Paul Morrison and Lan Dao}, journal={arXiv 2003.11597}, url={https://github.com/ieee8023/covid-chestxray-dataset}, year={2020} }
lukerschwan/Covid-19_Lung_Image_CNN
The dataset used has a large amount of variation in the angles the xrays were taken. This project presents a high resolution neural network to predict the presence of Covid-19 in chest xrays.
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