A deep learning integrated radiomics model for identification of coronavirus disease 2019 using computed tomography

Since its first outbreak, Coronavirus Disease 2019 (COVID-19) has been rapidly spreading worldwide and caused a global pandemic. Rapid and early detection is essential to contain COVID-19. Here, we first developed a deep learning (DL) integrated radiomics model for end-to-end identification of COVID...

Descripción completa

Detalles Bibliográficos
Autores principales: Zhang, Xiaoguo, Wang, Dawei, Shao, Jiang, Tian, Song, Tan, Weixiong, Ma, Yan, Xu, Qingnan, Ma, Xiaoman, Li, Dasheng, Chai, Jun, Wang, Dingjun, Liu, Wenwen, Lin, Lingbo, Wu, Jiangfen, Xia, Chen, Zhang, Zhongfa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7886892/
https://www.ncbi.nlm.nih.gov/pubmed/33594159
http://dx.doi.org/10.1038/s41598-021-83237-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7886892/
https://www.ncbi.nlm.nih.gov/pubmed/33594159
http://dx.doi.org/10.1038/s41598-021-83237-6

Ejemplares similares