Photoacoustic microscopy with sparse data by convolutional neural networks

The point-by-point scanning mechanism of photoacoustic microscopy (PAM) results in low-speed imaging, limiting the application of PAM. In this work, we propose a method to improve the quality of sparse PAM images using convolutional neural networks (CNNs), thereby speeding up image acquisition while...

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Detalles Bibliográficos
Autores principales: Zhou, Jiasheng, He, Da, Shang, Xiaoyu, Guo, Zhendong, Chen, Sung-Liang, Luo, Jiajia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7973247/
https://www.ncbi.nlm.nih.gov/pubmed/33763327
http://dx.doi.org/10.1016/j.pacs.2021.100242

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7973247/
https://www.ncbi.nlm.nih.gov/pubmed/33763327
http://dx.doi.org/10.1016/j.pacs.2021.100242

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