OCTA imsges dataset with pixel-level mask annotaion for FAZ segmentation

Name: OCTA imsges dataset with pixel-level mask annotaion for FAZ segmentation
Creator: State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou 510060, China; Yiqing Shen; Key Laboratory of Bio-Resource and Eco-Environment of ministry of Education, College of Life Sciences, State Key Laboratory of Hydraulics and Mountain River Engineering, Sichuan University, Chengdu, Sichuan, 610064, China; Intelligent Computing Laboratory, International Graduate School, Tsinghua University, Shenzhen, Guangdong, 518055, China; Weijing Cheng
Published: 2021-07-06T00:00:00+08:00

Zenodo2021-07-06 更新2026-04-07 收录

FAZ分割

眼科图像分析

数据链接：

https://zenodo.org/record/5075194 数据链接链接失效反馈

官方服务：

资源简介：

This dataset is the affiliated data for the reaserch "A Deep Learning-based Quality Assessment and Segmentation System and A Large Benchmark Datatset for Optical Coherence Tomographic Angiography Image" Detail: This dataset is the pixel-level mask annotaion for FAZ segmentation. 1,101 3 × 3 mm<sup>2</sup> sOCTA images chosen from gradable and best OCTA images randomly in subset sOCTA-3x3-10k, and 1,143 3 × 3 mm<sup>2</sup>dOCTA images were annotated by an experienced ophthalmologist.

提供机构：

State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou 510060, China; Yiqing Shen; Key Laboratory of Bio-Resource and Eco-Environment of ministry of Education, College of Life Sciences, State Key Laboratory of Hydraulics and Mountain River Engineering, Sichuan University, Chengdu, Sichuan, 610064, China; Intelligent Computing Laboratory, International Graduate School, Tsinghua University, Shenzhen, Guangdong, 518055, China; Weijing Cheng

创建时间：

2021-07-06