jaburke166/deepgpet
Repository storing fully automatic DL-based model and mode weights for choroid region segmentation in optical coherence tomography images.
This project helps ophthalmologists and researchers automatically analyze optical coherence tomography (OCT) scans of the eye. It takes OCT images as input and identifies the choroid region, then outputs clinically relevant measurements like choroid thickness, area, and volume. Clinicians and scientists studying eye health, especially conditions affecting the choroid, would use this tool.
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Use this if you need to quickly and automatically measure choroid features from your OCT images without manual segmentation.
Not ideal if you require highly customized or manual control over the segmentation process, or if your images are not standard OCT B-scans.
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Mar 20, 2025
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