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

This dataset is publish by the research "<em>A Deep Learning-based Quality Assessment and Segmentation System with a Large-scale Benchmark Dataset for Optical Coherence Tomographic Angiography Image</em>" 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 <strong>cite</strong> our paper: <em><code>A Deep Learning-based Quality Assessment and Segmentation System with a Large-scale Benchmark Dataset for Optical Coherence Tomographic Angiography Image</code></em>.