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Cone Detection ML

A software package for detecting cone photoreceptor cells from non-confocal split detection adaptive optics images using machine learning.

Details

A software package for detecting cone photoreceptor cells from non-confocal split detection adaptive optics 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:

Citation(s)

If any portion of this software is used, please cite the following paper in your publication:

  • Jianfei Liu, Christine Chen, Nancy Aguilera, Catherine Cukras, Robert B. Hufnagel, Wadih M. Zein, Tao Liu, and Johnny Tam, "Active cell appearance model induced generative adversarial networks for annotation-efficient cell segmentation and identification on adaptive optics retinal images." IEEE Transactions on Medical Imaging 40.10 (2021): 2820-2831.

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