RPE Detection is a software package for identifying retinal pigment epithelial (RPE) cells in adaptive optics images-enhanced indocyanine green (AO-ICG) images using machine learning.
This software was primarily developed by Jianfei Liu, Andrei Volkov, 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.
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.
If any portion of this software is used, please cite the following paper in your publication:
Jianfei Liu, Yoo-Jean Han, Tao Liu, Nancy Aguilera, and Johnny Tam, "Spatially aware dense-linkNet based regression improves fluorescent cell detection in adaptive optics ophthalmic images." IEEE journal of biomedical and health informatics 24.12 (2020): 3520-3528.
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