CF and FFA Images Dataset

该数据集包含了350位匿名患者的350张彩色眼底（CF）图像和相应的18,180张荧光素眼底血管造影（FFA）图像，用于训练生成模型以合成视频。FFA图像是通过Zeiss FF450 Plus和Heidelberg Spectralis系统捕获的，而CF图像则是使用Topcon TRC-50XF和Zeiss FF450 Plus设备拍摄的。该研究已获得机构审查委员会的批准。规模上，该数据集涉及350位患者，包括350张CF图像和18,180张FFA图像。任务是将静态图像生成视频。

This dataset contains 350 color fundus (CF) images and 18,180 corresponding fluorescein fundus angiography (FFA) images from 350 anonymized patients, which is utilized for training generative models to synthesize videos. FFA images were captured using Zeiss FF450 Plus and Heidelberg Spectralis imaging systems, while CF images were acquired with Topcon TRC-50XF and Zeiss FF450 Plus devices. This study has received approval from the Institutional Review Board. In terms of scale, this dataset encompasses 350 patients, with 350 CF images and 18,180 FFA images included. The core task of this dataset is to generate videos from static images.