P-GAN Software
A software implementation for recovering the individual retinal pigment epithelial (RPE) cells from single noisy adaptive optics optical coherence tomography (AOOCT) images. This software was primarily developed by Vineeta Das and Johnny Tam, with research support from Intramural Research Program of the National Institutes of Health, National Eye Institute. Additional details about the algorithms used can be found in the reference listed below.
Details
The following items are available:
- Readme for getting started with the installation package
- License for using the software
- Example images and result for testing the software.
- Code repository containing the code and example images for testing the software.
Access and License Information
https://github.com/TamAOLab/ConeSegmentation/blob/master/License.txt
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Citation
If any portion of this software is used, please cite the following paper in your publication:
Jianfei Liu, HaeWon Jung, Alfredo Dubra, and Johnny Tam, "Automated Photoreceptor Cell Identification on Nonconfocal Adaptive Optics Images Using Multiscale Circular Voting," Investigative Ophthalmology & Visual Science 58(11): 4477-4489, 2017
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