Cargando…
3D Clumped Cell Segmentation Using Curvature Based Seeded Watershed
Image segmentation is an important process that separates objects from the background and also from each other. Applied to cells, the results can be used for cell counting which is very important in medical diagnosis and treatment, and biological research that is often used by scientists and medical...
Autores principales: | Atta-Fosu, Thomas, Guo, Weihong, Jeter, Dana, Mizutani, Claudia M., Stopczynski, Nathan, Sousa-Neves, Rui |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5340274/ https://www.ncbi.nlm.nih.gov/pubmed/28280723 http://dx.doi.org/10.3390/jimaging2040031 |
Ejemplares similares
-
Clumping lysosomes
por: Dove, Alan W.
Publicado: (2001) -
Statistical clumped isotope signatures
por: Röckmann, T., et al.
Publicado: (2016) -
Cell Nuclei Segmentation in Cytological Images Using Convolutional Neural Network and Seeded Watershed Algorithm
por: Kowal, Marek, et al.
Publicado: (2019) -
Horizontal seed dispersal by dung beetles reduced seed and seedling clumping, but did not increase short-term seedling establishment
por: Urrea-Galeano, Lina Adonay, et al.
Publicado: (2019) -
Temperature Dependence of Clumped Isotopes (∆(47)) in Aragonite
por: de Winter, Niels J., et al.
Publicado: (2022)