OCTA image dataset with pixel-level mask annotation for FAZ segmentation

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 mm2 sOCTA images chosen from gradable and best OCTA images randomly in subset sOCTA-3x3-10k, and 1,143 6 × 6 mm2dOCTA images were annotated by an experienced ophthalmologist. GitHub: https://github.com/shanzha09/COIPS These datasets are public available, if you use the dataset or our system in your research, please cite our paper: A Deep Learning-based Quality Assessment and Segmentation System with a Large-scale Benchmark Dataset for Optical Coherence Tomographic Angiography Image.