TEMImageNet training library and AtomSegNet deep-learning models for high-precision atom segmentation, localization, denoising, and deblurring of atomic-resolution images

Atom segmentation and localization, noise reduction and deblurring of atomic-resolution scanning transmission electron microscopy (STEM) images with high precision and robustness is a challenging task. Although several conventional algorithms, such has thresholding, edge detection and clustering, ca...

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Detalles Bibliográficos
Autores principales: Lin, Ruoqian, Zhang, Rui, Wang, Chunyang, Yang, Xiao-Qing, Xin, Huolin L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7940611/
https://www.ncbi.nlm.nih.gov/pubmed/33686158
http://dx.doi.org/10.1038/s41598-021-84499-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7940611/
https://www.ncbi.nlm.nih.gov/pubmed/33686158
http://dx.doi.org/10.1038/s41598-021-84499-w

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