Cargando…
Publisher’s Note: Stochastic models for objects and images in oncology and virology: application to PI3K-Akt-mTOR signaling and COVID-19 disease
The article was republished with a corrected digital object identifier (DOI).
Autores principales: | Barrett, Harrison H., Caucci, Luca |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Society of Photo-Optical Instrumentation Engineers
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7773026/ https://www.ncbi.nlm.nih.gov/pubmed/33409337 http://dx.doi.org/10.1117/1.JMI.8.S1.019801 |
Ejemplares similares
-
Stochastic models for objects and images in oncology and virology: application to PI3K-Akt-mTOR signaling and COVID-19 disease
por: Barrett, Harrison H., et al.
Publicado: (2020) -
Publisher’s note: Deep learning-based method for segmenting epithelial layer of tubules in histopathological images of testicular tissue
por: Fakhrzadeh, Azadeh, et al.
Publicado: (2023) -
PI3K/AKT/mTOR Pathway in Angiogenesis
por: Karar, Jayashree, et al.
Publicado: (2011) -
Multi-reference global registration of individual A-lines in adaptive optics optical coherence tomography retinal images (Publisher’s Note)
por: Kurokawa, Kazuhiro, et al.
Publicado: (2021) -
Polychromatic digital holographic microscopy: a quasicoherent-noise-free imaging technique to explore the connectivity of living neuronal networks (Publisher’s Note)
por: Larivière-Loiselle, Céline, et al.
Publicado: (2021)