Multilevel Deep-Aggregated Boosted Network to Recognize COVID-19 Infection from Large-Scale Heterogeneous Radiographic Data.

IEEE Journal of Biomedical and Health Informatics(2021)

引用 10|浏览4
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摘要
In the present epidemic of the coronavirus disease 2019 (COVID-19), radiological imaging modalities, such as X-ray and computed tomography (CT), have been identified as effective diagnostic tools. However, the subjective assessment of radiographic examination is a time-consuming task and demands expert radiologists. Recent advancements in artificial intelligence have enhanced the diagnostic power ...
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关键词
COVID-19,X-ray imaging,Computed tomography,Solid modeling,Training,Diagnostic radiography,Testing
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