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Open source software for automatic detection of cone photoreceptors in adaptive optics ophthalmoscopy using convolutional neural networks

Imaging with an adaptive optics scanning light ophthalmoscope (AOSLO) enables direct visualization of the cone photoreceptor mosaic in the living human retina. Quantitative analysis of AOSLO images typically requires manual grading, which is time consuming, and subjective; thus, automated algorithms...

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書目詳細資料
發表在:Sci Rep
Main Authors: Cunefare, David, Fang, Leyuan, Cooper, Robert F., Dubra, Alfredo, Carroll, Joseph, Farsiu, Sina
格式: Artigo
語言:Inglês
出版: Nature Publishing Group UK 2017
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在線閱讀:https://ncbi.nlm.nih.gov/pmc/articles/PMC5529414/
https://ncbi.nlm.nih.gov/pubmed/28747737
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-017-07103-0
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