A high-accuracy lightweight network model for X-ray image diagnosis: A case study of COVID detection
Shujuan Wang,
Jialin Ren,
Xiaoli Guo
Abstract:The Coronavirus Disease 2019(COVID-19) has caused widespread and significant harm globally. In order to address the urgent demand for a rapid and reliable diagnostic approach to mitigate transmission, the application of deep learning stands as a viable solution. The impracticality of many existing models is attributed to excessively large parameters, significantly limiting their utility. Additionally, the classification accuracy of the model with few parameters falls short of desirable levels. Motivated by thi… Show more
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