Cargando…
Letter to the Editor: Quantitative evaluation of COVID-19 pneumonia severity by CT pneumonia analysis algorithm using deep learning technology and blood test results
Autores principales: | Mungmunpuntipantip, Rujittika, Wiwanitkit, Viroj |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Singapore
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8256794/ https://www.ncbi.nlm.nih.gov/pubmed/34224062 http://dx.doi.org/10.1007/s11604-021-01169-7 |
Ejemplares similares
-
Reply to the Letter to the Editor: Quantitative evaluation of COVID-19 pneumonia severity by CT pneumonia analysis algorithm using deep learning technology and blood test results
por: Okuma, Tomohisa
Publicado: (2021) -
Letter to the Editor Regarding First Admission Neutrophil–Lymphocyte Ratio and Ischemic Stroke
por: Mungmunpuntipantip, Rujittika, et al.
Publicado: (2021) -
Letter to the Editor: Variability in Management Practices and Surgical Decision Making in Spinal Tuberculosis
por: Mungmunpuntipantip, Rujittika, et al.
Publicado: (2022) -
Letter to the Editor Regarding “Telemedicine for Endovascular Neurosurgery Consultation During the COVID-19 Era”
por: Mungmunpuntipantip, Rujittika, et al.
Publicado: (2022) -
Letter to Editor: Unilateral Acute Central Serous Chorioretinopathy with Inactivated Coronavirus Disease 2019 Vaccination: A Case Report and Review of Literature
por: Mungmunpuntipantip, Rujittika, et al.
Publicado: (2023)