Modality alignment contrastive learning for severity assessment of COVID-19 from lung ultrasound and clinical information

The outbreak of COVID-19 around the world has caused great pressure to the health care system, and many efforts have been devoted to artificial intelligence (AI)-based analysis of CT and chest X-ray images to help alleviate the shortage of radiologists and improve the diagnosis efficiency. However,...

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Detalles Bibliográficos
Autores principales: Xue, Wufeng, Cao, Chunyan, Liu, Jie, Duan, Yilian, Cao, Haiyan, Wang, Jian, Tao, Xumin, Chen, Zejian, Wu, Meng, Zhang, Jinxiang, Sun, Hui, Jin, Yang, Yang, Xin, Huang, Ruobing, Xiang, Feixiang, Song, Yue, You, Manjie, Zhang, Wen, Jiang, Lili, Zhang, Ziming, Kong, Shuangshuang, Tian, Ying, Zhang, Li, Ni, Dong, Xie, Mingxing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier B.V. 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7817458/
https://www.ncbi.nlm.nih.gov/pubmed/33550007
http://dx.doi.org/10.1016/j.media.2021.101975

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7817458/
https://www.ncbi.nlm.nih.gov/pubmed/33550007
http://dx.doi.org/10.1016/j.media.2021.101975

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