tipo
- journal article
Segmentation and quantification of COVID-19 infections in CT using pulmonary vessels extraction and deep learning
Documento
- doi:10.1007/s11042-021-11153-y
- http://dx.doi.org/10.1007/s11042-021-11153-y
- http://https://doi.org/10.1007/s11042-021-11153-y][doi:10.1007/s11042-021-11153-y
- http://https://link.springer.com/article/10.1007/s11042-021-11153-y
- http://https://link.springer.com/article/10.1007/s11042-021-11153-y][doi:10.1007/s11042-021-11153-y
- http://https://pubmed.ncbi.nlm.nih.gov/34188605/
- http://link.springer.com/article/10.1007%2Fs11042-021-11153-y][doi:10.1007/s11042-021-11153-y
- http://link.springer.com/article/10.1007/s11042-021-11153-y
- Visão geral
- Pesquisas
- Identidade
- Informação adicional documento
- Outro
- Ver todos
Visão geral
autores
data de publicação
- 2021-01-01