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Cone Identification in Choroideremia: Repeatability, Reliability, and Automation Through Use of a Convolutional Neural Network
PURPOSE: Adaptive optics imaging has enabled the visualization of photoreceptors both in health and disease. However, there remains a need for automated accurate cone photoreceptor identification in images of disease. Here, we apply an open-source convolutional neural network (CNN) to automatically...
Αποθηκεύτηκε σε:
| Τόπος έκδοσης: | Transl Vis Sci Technol |
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| Κύριοι συγγραφείς: | , , , , |
| Μορφή: | Artigo |
| Γλώσσα: | Inglês |
| Έκδοση: |
The Association for Research in Vision and Ophthalmology
2020
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| Θέματα: | |
| Διαθέσιμο Online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7424931/ https://ncbi.nlm.nih.gov/pubmed/32855844 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1167/tvst.9.2.40 |
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