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A combined machine-learning and graph-based framework for the segmentation of retinal surfaces in SD-OCT volumes
Optical coherence tomography is routinely used clinically for the detection and management of ocular diseases as well as in research where the studies may involve animals. This routine use requires that the developed automated segmentation methods not only be accurate and reliable, but also be adapt...
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| 主要な著者: | , , , , , , , |
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| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Optical Society of America
2013
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| 主題: | |
| オンライン・アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3862166/ https://ncbi.nlm.nih.gov/pubmed/24409375 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1364/BOE.4.002712 |
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