A Deep Learning Approach for the Photoacoustic Tomography Recovery From Undersampled Measurements

Photoacoustic tomography (PAT) is a propitious imaging modality, which is helpful for biomedical study. However, fast PAT imaging and denoising is an exigent task in medical research. To address the problem, recently, methods based on compressed sensing (CS) have been proposed, which accede the low...

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Detalles Bibliográficos
Autores principales: Shahid, Husnain, Khalid, Adnan, Liu, Xin, Irfan, Muhammad, Ta, Dean
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7943731/
https://www.ncbi.nlm.nih.gov/pubmed/33716643
http://dx.doi.org/10.3389/fnins.2021.598693

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7943731/
https://www.ncbi.nlm.nih.gov/pubmed/33716643
http://dx.doi.org/10.3389/fnins.2021.598693

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