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

<p>This dataset is publish by the research &quot;<em>A Deep Learning-based Quality Assessment and Segmentation System with a Large-scale Benchmark Dataset for Optical Coherence Tomographic Angiography Image</em>&quot;</p> <p>Detail:</p> <p>This dataset is the pixel-level mask annotation for FAZ segmentation. 1,101 3 &times; 3 mm²&nbsp;sOCTA images chosen from gradable and best OCTA images randomly in subset sOCTA-3x3-10k, and 1,143 6&nbsp;&times; 6&nbsp;mm²dOCTA images were annotated by an experienced ophthalmologist.</p> <p>GitHub:&nbsp;<a href="https://github.com/shanzha09/COIPS">https://github.com/shanzha09/COIPS</a></p> <p>These datasets are public available, if you use the dataset or our system in your research, please <strong>cite</strong> our paper:&nbsp;<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>.</p> <p>arXiv:<a href="https://arxiv.org/abs/2107.10476v1">https://arxiv.org/abs/2107.10476v1</a></p>