Cargando…
A jointed feature fusion framework for photoacoustic image reconstruction()
The standard reconstruction of Photoacoustic (PA) computed tomography (PACT) image could cause the artifacts due to interferences or ill-posed setup. Recently, deep learning has been used to reconstruct the PA image with ill-posed conditions. In this paper, we propose a jointed feature fusion framew...
Autores principales: | Lan, Hengrong, Yang, Changchun, Gao, Fei |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9798177/ https://www.ncbi.nlm.nih.gov/pubmed/36589516 http://dx.doi.org/10.1016/j.pacs.2022.100442 |
Ejemplares similares
-
Y-Net: Hybrid deep learning image reconstruction for photoacoustic tomography in vivo
por: Lan, Hengrong, et al.
Publicado: (2020) -
Review of deep learning for photoacoustic imaging
por: Yang, Changchun, et al.
Publicado: (2020) -
Review of Low-Cost Photoacoustic Sensing and Imaging Based on Laser Diode and Light-Emitting Diode
por: Zhong, Hongtao, et al.
Publicado: (2018) -
Photoacoustic digital brain and deep-learning-assisted image reconstruction
por: Zhang, Fan, et al.
Publicado: (2023) -
Deep learning enabled real-time photoacoustic tomography system via single data acquisition channel
por: Lan, Hengrong, et al.
Publicado: (2021)