Quantifying the spatial patterns of retinal ganglion cell loss and progression in optic neuropathy by applying a deep learning variational autoencoder approach to optical coherence tomography
Jui-Kai Wang, Brett A. Johnson, Zhi Chen, Honghai Zhang, David Szanto, Brian Woods, Michael Wall, Young H. Kwon, Edward F. Linton, Andrew Pouw, Mark J. Kupersmith, Mona K. Garvin, Randy H. Kardon · 2025
Read Quantifying the spatial patterns of retinal ganglion cell loss and progression in optic neuropathy by applying a deep learning variational autoencoder approach to optical coherence tomography by Jui-Kai Wang, Brett A. Johnson, Zhi Chen, Honghai Zhang, David Szanto, Brian Woods, Michael Wall, Young H. Kwon, Edward F. Linton, Andrew Pouw, Mark J. Kupersmith, Mona K. Garvin, Randy H. Kardon (2025) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-11830743.txt.
Description
Jui-Kai Wang and co-authors teach a model to map optic nerve damage in a study published in 2024. Three diseases, glaucoma, optic neuritis, and a stroke-like nerve injury, each thin the eye's ganglion cell layer in their own spatial pattern. Reading those patterns could name the cause and track progress. Their tool is a boosted variational autoencoder, a model that compresses images into a few code numbers.
The study used over ten thousand eye scans from more than eight hundred people. Two main code numbers captured the big patterns of thinning, and eight booster numbers added fine detail. Maps built from the codes let viewers see damage at a glance. A classifier on the codes spotted abnormal thinning with high accuracy. It also sorted the three diseases well, and the booster codes sharpened the sorting further.
Catalog record
| CREATOR | Jui-Kai Wang, Brett A. Johnson, Zhi Chen, Honghai Zhang, David Szanto, Brian Woods, Michael Wall, Young H. Kwon, Edward F. Linton, Andrew Pouw, Mark J. Kupersmith, Mona K. Garvin, Randy H. Kardon |
|---|---|
| YEAR | 2025 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 47 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |