An Ensemble Learning Framework For Multi-Class Covid-19 Lesion Segmentation From Chest Ct Images

Nastaran Enshaei,Parnian Afshar,Shahin Heidarian,Arash Mohammadi,Moezedin Javad Rafiee,Anastasia Oikonomou,Faranak Babaki Fard,Konstantinos N. Plataniotis,Farnoosh Naderkhani

2021 IEEE International Conference on Autonomous Systems (ICAS)（2021）

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摘要

The novel Coronavirus disease (COVID-19) has been the most critical global challenge over the past months. Lung involvement quantification and distinguishing the types of infections from chest CT scans can assist in accurate severity assessment of COVID-19 pneumonia, efficient use of limited medical resources, and saving more lives. Nevertheless, visual assessment of chest CT images and evaluating...

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关键词

COVID-19,Deep learning,Image segmentation,Visualization,Computed tomography,Pulmonary diseases,Conferences

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