Comparing Deep Learning Frameworks for Photoacoustic Tomography Image Reconstruction

Conventional reconstruction methods for photoacoustic images are not suitable for the scenario of sparse sensing and geometrical limitation. To overcome these challenges and enhance the quality of reconstruction, several learning-based methods have recently been introduced for photoacoustic tomograp...

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Detalles Bibliográficos
Autores principales: Hsu, Ko-Tsung, Guan, Steven, Chitnis, Parag V.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8165448/
https://www.ncbi.nlm.nih.gov/pubmed/34094851
http://dx.doi.org/10.1016/j.pacs.2021.100271

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8165448/
https://www.ncbi.nlm.nih.gov/pubmed/34094851
http://dx.doi.org/10.1016/j.pacs.2021.100271

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