OCTA image dataset with pixel-level mask annotation for FAZ segmentation
Version 1This dataset is publish by the research " A Deep Learning-based Quality Assessment and Segmentation System with a Large-scale Benchmark Dataset for Optical Coherence Tomographic Angiography Image " Detail: This dataset is the pixel-level mask annotation for FAZ segmentation. 1,101 3 × 3 mm 2 sOCTA images chosen from gradable and best OCTA images randomly in subset sOCTA-3x3-10k, and 1,143 6 × 6 mm 2 dOCTA images were annotated by an experienced ophthalmologist. GitHub: https://github.
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This dataset is publish by the research " A Deep Learning-based Quality Assessment and Segmentation System with a Large-scale Benchmark Dataset for Optical Coherence Tomographic Angiography Image "
Detail:
This dataset is the pixel-level mask annotation for FAZ segmentation. 1,101 3 × 3 mm 2 sOCTA images chosen from gradable and best OCTA images randomly in subset sOCTA-3x3-10k, and 1,143 6 × 6 mm 2 dOCTA images were annotated by an experienced ophthalmologist.
GitHub: https://github.