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Automatic quantification of superficial foveal avascular zone in optical coherence tomography angiography implemented with deep learning
An accurate segmentation and quantification of the superficial foveal avascular zone (sFAZ) is important to facilitate the diagnosis and treatment of many retinal diseases, such as diabetic retinopathy and retinal vein occlusion. We proposed a method based on deep learning for the automatic segmenta...
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| Publicado en: | Vis Comput Ind Biomed Art |
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| Main Authors: | , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
Springer Singapore
2019
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| Assuntos: | |
| Acceso en liña: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7099561/ https://ncbi.nlm.nih.gov/pubmed/32240395 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s42492-019-0031-8 |
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