Three-dimensional reconstructing undersampled photoacoustic microscopy images using deep learning

Spatial sampling density and data size are important determinants of the imaging speed of photoacoustic microscopy (PAM). Therefore, undersampling methods that reduce the number of scanning points are typically adopted to enhance the imaging speed of PAM by increasing the scanning step size. Since u...

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Detalles Bibliográficos
Autores principales: Seong, Daewoon, Lee, Euimin, Kim, Yoonseok, Han, Sangyeob, Lee, Jaeyul, Jeon, Mansik, Kim, Jeehyun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9761854/
https://www.ncbi.nlm.nih.gov/pubmed/36544533
http://dx.doi.org/10.1016/j.pacs.2022.100429

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9761854/
https://www.ncbi.nlm.nih.gov/pubmed/36544533
http://dx.doi.org/10.1016/j.pacs.2022.100429

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