https://regorafenibinhibitor.c....om/very-first-docume
But, there continues to be a need for automatic accurate cone photoreceptor identification in pictures of disease. Here, we apply an open-source convolutional neural network (CNN) to automatically determine cones in photos of choroideremia (CHM). We further compare the outcome into the repeatability and reliability of manual cone identifications in CHM. We utilized split-detection transformative optics scanning laser ophthalmoscopy to image the inner section cone mosaic of 17 customers with CHM. Co
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