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Automatic segmentation of OCT retinal boundaries using recurrent neural networks and graph search
The manual segmentation of individual retinal layers within optical coherence tomography (OCT) images is a time-consuming task and is prone to errors. The investigation into automatic segmentation methods that are both efficient and accurate has seen a variety of methods proposed. In particular, rec...
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| Publicado no: | Biomed Opt Express |
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| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Optical Society of America
2018
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6238930/ https://ncbi.nlm.nih.gov/pubmed/30460160 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1364/BOE.9.005759 |
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