Comparative study of deep learning models for optical coherence tomography angiography

Optical coherence tomography angiography (OCTA) is a promising imaging modality for microvasculature studies. Meanwhile, deep learning has achieved rapid development in image-to-image translation tasks. Some studies have proposed applying deep learning models to OCTA reconstruction and have obtained...

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Bibliografski detalji
Izdano u:Biomed Opt Express
Glavni autori: Jiang, Zhe, Huang, Zhiyu, Qiu, Bin, Meng, Xiangxi, You, Yunfei, Liu, Xi, Liu, Gangjun, Zhou, Chuangqing, Yang, Kun, Maier, Andreas, Ren, Qiushi, Lu, Yanye
Format: Artigo
Jezik:Inglês
Izdano: Optical Society of America 2020
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Article
Online pristup:https://ncbi.nlm.nih.gov/pmc/articles/PMC7075619/
https://ncbi.nlm.nih.gov/pubmed/32206430
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1364/BOE.387807
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