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Towards label-free 3D segmentation of optical coherence tomography images of the optic nerve head using deep learning
Recently proposed deep learning (DL) algorithms for the segmentation of optical coherence tomography (OCT) images to quantify the morphological changes to the optic nerve head (ONH) tissues during glaucoma have limited clinical adoption due to their device specific nature and the difficulty in prepa...
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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
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7687952/ https://ncbi.nlm.nih.gov/pubmed/33282495 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1364/BOE.395934 |
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