EM-stellar: benchmarking deep learning for electron microscopy image segmentation

MOTIVATION: The inherent low contrast of electron microscopy (EM) datasets presents a significant challenge for rapid segmentation of cellular ultrastructures from EM data. This challenge is particularly prominent when working with high-resolution big-datasets that are now acquired using electron to...

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Detalles Bibliográficos
Autores principales: Khadangi, Afshin, Boudier, Thomas, Rajagopal, Vijay
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Original Papers
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8034537/
https://www.ncbi.nlm.nih.gov/pubmed/33416852
http://dx.doi.org/10.1093/bioinformatics/btaa1094

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8034537/
https://www.ncbi.nlm.nih.gov/pubmed/33416852
http://dx.doi.org/10.1093/bioinformatics/btaa1094

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