AutoCovNet: Unsupervised feature learning using autoencoder and feature merging for detection of COVID-19 from chest X-ray images
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DOI: 10.1016/j.bbe.2021.09.004
Abstract: With the onset of the COVID-19 pandemic, the automated diagnosis has become one of the most trending topics of research for faster mass screening. Deep learning-based approaches have been established as the most promising methods… read more here.
Keywords: network; feature; merging network; chest ray ... See more keywords