ai-med/relaynet_pytorch
Pytorch Implementation of retinal OCT Layer Segmentation (with trained models)
This tool helps ophthalmologists and researchers automatically identify and segment different retinal layers and fluid in Optical Coherence Tomography (OCT) scans. You input raw OCT images, and it outputs detailed segmentations of the retina, highlighting specific layers and any present fluid. This is designed for medical professionals involved in eye diagnostics, treatment planning, or retinal research.
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Use this if you need to precisely segment retinal layers and fluid in macular OCT images for diagnostic analysis or quantitative research.
Not ideal if you require a production-ready, fully validated clinical tool without any further development or bug fixes.
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Language
Jupyter Notebook
License
MIT
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Last pushed
Jul 10, 2018
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