Retinal OCT Layer Segmentation
2 papers with code • 2 benchmarks • 1 datasets
Benchmarks
These leaderboards are used to track progress in Retinal OCT Layer Segmentation
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OCTID
Latest papers
Y-Net: A Spatiospectral Dual-Encoder Networkfor Medical Image Segmentation
azadef/ynet
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Automated segmentation of retinal optical coherence tomography (OCT) images has become an important recent direction in machine learning for medical applications.
Multi-scale GCN-assisted two-stage network for joint segmentation of retinal layers and disc in peripapillary OCT images
An accurate and automated tissue segmentation algorithm for retinal optical coherence tomography (OCT) images is crucial for the diagnosis of glaucoma.
