Cargando…
CardioVinci: building blocks for virtual cardiac cells using deep learning
Advances in electron microscopy (EM) such as electron tomography and focused ion-beam scanning electron microscopy provide unprecedented, three-dimensional views of cardiac ultrastructures within sample volumes ranging from hundreds of nanometres to hundreds of micrometres. The datasets from these s...
Autores principales: | Khadangi, Afshin, Boudier, Thomas, Hanssen, Eric, Rajagopal, Vijay |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Royal Society
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9527637/ https://www.ncbi.nlm.nih.gov/pubmed/36189496 http://dx.doi.org/10.1098/rstb.2021.0469 |
Ejemplares similares
-
EM-stellar: benchmarking deep learning for electron microscopy image segmentation
por: Khadangi, Afshin, et al.
Publicado: (2021) -
Automated segmentation of cardiomyocyte Z-disks from high-throughput scanning electron microscopy data
por: Khadangi, Afshin, et al.
Publicado: (2019) -
Developing a Clinical Cardio-Oncology Program and the Building Blocks for Success: JACC: CardioOncology How To
por: Fradley, Michael G., et al.
Publicado: (2023) -
Leonardo da Vinci /
Publicado: (1983) -
Leonardo da Vinci /
por: García Sánchez, Laura
Publicado: (2001)