Cargando…
Deep learning for biomedical photoacoustic imaging: A review
Photoacoustic imaging (PAI) is a promising emerging imaging modality that enables spatially resolved imaging of optical tissue properties up to several centimeters deep in tissue, creating the potential for numerous exciting clinical applications. However, extraction of relevant tissue parameters fr...
Autores principales: | Gröhl, Janek, Schellenberg, Melanie, Dreher, Kris, Maier-Hein, Lena |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7932894/ https://www.ncbi.nlm.nih.gov/pubmed/33717977 http://dx.doi.org/10.1016/j.pacs.2021.100241 |
Ejemplares similares
-
Semantic segmentation of multispectral photoacoustic images using deep learning
por: Schellenberg, Melanie, et al.
Publicado: (2022) -
Photoacoustic image synthesis with generative adversarial networks
por: Schellenberg, Melanie, et al.
Publicado: (2022) -
Efficient Photoacoustic Image Synthesis with Deep Learning
por: Rix, Tom, et al.
Publicado: (2023) -
Tattoo tomography: Freehand 3D photoacoustic image reconstruction with an optical pattern
por: Holzwarth, Niklas, et al.
Publicado: (2021) -
Context encoding enables machine learning-based quantitative photoacoustics
por: Kirchner, Thomas, et al.
Publicado: (2018)