A deep learning approach to characterize 2019 coronavirus disease (COVID-19) pneumonia in chest CT images

OBJECTIVES: To utilize a deep learning model for automatic detection of abnormalities in chest CT images from COVID-19 patients and compare its quantitative determination performance with radiological residents. METHODS: A deep learning algorithm consisted of lesion detection, segmentation, and loca...

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Detalles Bibliográficos
Autores principales: Ni, Qianqian, Sun, Zhi Yuan, Qi, Li, Chen, Wen, Yang, Yi, Wang, Li, Zhang, Xinyuan, Yang, Liu, Fang, Yi, Xing, Zijian, Zhou, Zhen, Yu, Yizhou, Lu, Guang Ming, Zhang, Long Jiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2020
Materias:
Computed Tomography
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7331494/
https://www.ncbi.nlm.nih.gov/pubmed/32617690
http://dx.doi.org/10.1007/s00330-020-07044-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7331494/
https://www.ncbi.nlm.nih.gov/pubmed/32617690
http://dx.doi.org/10.1007/s00330-020-07044-9

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