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ReLayNet: retinal layer and fluid segmentation of macular optical coherence tomography using fully convolutional networks
Optical coherence tomography (OCT) is used for non-invasive diagnosis of diabetic macular edema assessing the retinal layers. In this paper, we propose a new fully convolutional deep architecture, termed ReLayNet, for end-to-end segmentation of retinal layers and fluid masses in eye OCT scans. ReLay...
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| Publié dans: | Biomed Opt Express |
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| Auteurs principaux: | , , , , , , |
| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
Optical Society of America
2017
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| Sujets: | |
| Accès en ligne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5560830/ https://ncbi.nlm.nih.gov/pubmed/28856040 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1364/BOE.8.003627 |
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