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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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| 出版年: | Biomed Opt Express |
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| 主要な著者: | , , , , , , , , , , , , , , , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Optical Society of America
2020
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| 主題: | |
| オンライン･アクセス: | 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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