Disentangled Representation Learning for OCTA Vessel Segmentation With Limited Training Data

Optical coherence tomography angiography (OCTA) is an imaging modality that can be used for analyzing retinal vasculature. Quantitative assessment of en face OCTA images requires accurate segmentation of the capillaries. Using deep learning approaches for this task faces two major challenges. First,...

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Detalles Bibliográficos
Autores principales: Liu, Yihao, Carass, Aaron, Zuo, Lianrui, He, Yufan, Han, Shuo, Gregori, Lorenzo, Murray, Sean, Mishra, Rohit, Lei, Jianqin, Calabresi, Peter A., Saidha, Shiv, Prince, Jerry L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9910788/
https://www.ncbi.nlm.nih.gov/pubmed/35862335
http://dx.doi.org/10.1109/TMI.2022.3193029

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9910788/
https://www.ncbi.nlm.nih.gov/pubmed/35862335
http://dx.doi.org/10.1109/TMI.2022.3193029

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