Automated Quantification of CT Patterns Associated with COVID-19 from Chest CT

Purpose: To present a method that automatically segments and quantifies abnormal CT patterns commonly present in coronavirus disease 2019 (COVID-19), namely ground glass opacities and consolidations. Materials and Methods: In this retrospective study, the proposed method takes as input a non-contras...

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書誌詳細
出版年:ArXiv
主要な著者: Chaganti, Shikha, Balachandran, Abishek, Chabin, Guillaume, Cohen, Stuart, Flohr, Thomas, Georgescu, Bogdan, Grenier, Philippe, Grbic, Sasa, Liu, Siqi, Mellot, François, Murray, Nicolas, Nicolaou, Savvas, Parker, William, Re, Thomas, Sanelli, Pina, Sauter, Alexander W., Xu, Zhoubing, Yoo, Youngjin, Ziebandt, Valentin, Comaniciu, Dorin
フォーマット: Artigo
言語:Inglês
出版事項: Cornell University 2020
主題:
Article
オンライン･アクセス:https://ncbi.nlm.nih.gov/pmc/articles/PMC7280906/
https://ncbi.nlm.nih.gov/pubmed/32550252
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