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Lung CT Segmentation to Identify Consolidations and Ground Glass Areas for Quantitative Assesment of SARS-CoV Pneumonia
Published on: December 19, 2020
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Longitudinal Assessment of COVID-19 Using a Deep Learning-based Quantitative CT Pipeline: Illustration of Two Cases
Yukun Cao1, Zhanwei Xu1, Jianjiang Feng1
1Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China (Y.C., X.H., H.S.); Hubei Province Key Laboratory of Molecular Imaging, Wuhan, China (Y.C., X.H., H.S.); Department of Automation, Tsinghua University, Beijing, China (Z.X., J.F., C.J.); and Department of Radiology, Michigan Medicine, University of Michigan, Ann Arbor, Mich (H.W.).
Radiology. Cardiothoracic Imaging
|March 29, 2021
Abstract
No abstract available in PubMed .
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