Chenqi Li, Maggie Wang, Grace Wu, Khadija Rana, Nipon Charoenkitkarn, Jonathan H. Chan
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COVID19 Chest X-Ray Classification with Simple Convolutional Neural Network
COVID-19 outbreak calls for the urgent need of quick, accurate, and accessible methods for detection. Convolutional neural networks applied to chest x-ray images is a promising solution; however, x-ray device configurations vary and data quality across different datasets are inconsistent. This leads to overfitting on a particular set of training data. This paper aims to explore methods to mitigate overfitting.
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