Supervised framework for COVID-19 classification and lesion localization from chest CT

Conclusions: The deep-learning model can precisely forecast COVID-19 infectious probabilities and detect swelling areas in chest CT, with no requirement for training swellings. The easy-to-train and high-functioning deep-learning algorithm offers a fast method to classify people affected by COVID-19, which is useful to monitor the SARS-CoV-2 epidemic. [Ethiop. J. Health Dev. 2020; 34(4):235-242]Key words: COVID-19, CT scan, deep learning, neural network, DeCoVNet, RT-PCR, computed tomography

Source: Ethiopian Journal of Health Development - October 21, 2020 Category: African Health Authors: Junyong Zhang, Yingna Chu, Na Zhao Source Type: research