Cargando…
Integrated deep learning framework for accelerated optical coherence tomography angiography
Label-free optical coherence tomography angiography (OCTA) has become a premium imaging tool in clinics to obtain structural and functional information of microvasculatures. One primary technical drawback for OCTA, however, is its imaging speed. The current protocols require high sampling density an...
Autores principales: | Kim, Gyuwon, Kim, Jongbeom, Choi, Woo June, Kim, Chulhong, Lee, Seungchul |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8789830/ https://www.ncbi.nlm.nih.gov/pubmed/35079046 http://dx.doi.org/10.1038/s41598-022-05281-0 |
Ejemplares similares
-
Deep learning acceleration of multiscale superresolution localization photoacoustic imaging
por: Kim, Jongbeom, et al.
Publicado: (2022) -
Deep learning for quality assessment of optical coherence tomography angiography images
por: Dhodapkar, Rahul M., et al.
Publicado: (2022) -
Deep Learning Enhances Multiparametric Dynamic Volumetric Photoacoustic Computed Tomography In Vivo (DL‐PACT)
por: Choi, Seongwook, et al.
Publicado: (2022) -
Optical Coherence Tomography Angiography
por: Gao, Simon S., et al.
Publicado: (2016) -
Optical Coherence Tomography Angiography
por: Schwartz, Stephen G., et al.
Publicado: (2018)