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Unbiased corneal tissue analysis using Gabor-domain optical coherence microscopy and machine learning for automatic segmentation of corneal endothelial cells
Significance: An accurate, automated, and unbiased cell counting procedure is needed for tissue selection for corneal transplantation. Aim: To improve accuracy and reduce bias in endothelial cell density (ECD) quantification by combining Gabor-domain optical coherence microscopy (GDOCM) for three-di...
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| Опубликовано в: : | J Biomed Opt |
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| Главные авторы: | , , |
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
Society of Photo-Optical Instrumentation Engineers
2020
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| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7413309/ https://ncbi.nlm.nih.gov/pubmed/32770867 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1117/1.JBO.25.9.092902 |
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