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Robust total retina thickness segmentation in optical coherence tomography images using convolutional neural networks
We developed a fully automated system using a convolutional neural network (CNN) for total retina segmentation in optical coherence tomography (OCT) that is robust to the presence of severe retinal pathology. A generalized U-net network architecture was introduced to include the large context needed...
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| Pubblicato in: | Biomed Opt Express |
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| Autori principali: | , , , , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Optical Society of America
2017
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5508829/ https://ncbi.nlm.nih.gov/pubmed/28717568 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1364/BOE.8.003292 |
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