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A feature agnostic approach for glaucoma detection in OCT volumes
Optical coherence tomography (OCT) based measurements of retinal layer thickness, such as the retinal nerve fibre layer (RNFL) and the ganglion cell with inner plexiform layer (GCIPL) are commonly employed for the diagnosis and monitoring of glaucoma. Previously, machine learning techniques have rel...
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| 發表在: | PLoS One |
|---|---|
| Main Authors: | , , , , , |
| 格式: | Artigo |
| 語言: | Inglês |
| 出版: |
Public Library of Science
2019
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| 主題: | |
| 在線閱讀: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6602191/ https://ncbi.nlm.nih.gov/pubmed/31260494 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0219126 |
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