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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...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2021
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| Materias: | |
| 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 |