FIRE: Fundus Image Registration Dataset

火: 眼底图像配准数据集是一个视网膜眼底图像数据集。它具有129眼底视网膜图像，并根据不同的特征将它们组合成134对图像。-210眼底摄像机采集，分辨率2912*2912，视觉仰角40度。

数据集由Papageorgiou医院和塞萨洛尼基亚里士多德大学共同构建，并于2017年发布。数据来自塞萨洛尼基大学的39名患者。主要的出版商是C.埃尔南德斯-马塔斯，X。扎布卢斯Triantafyllou, P.安凡蒂，S。Douma和a.A. Argyros，相关论文包括 “FIRE: Fundus Image Registration Dataset”。

The FIRE Fundus Image Registration Dataset is a specialized retinal fundus image dataset. It comprises 129 fundus retinal images, which are paired into 134 image sets based on differing characteristics. All images were captured using a -210 fundus camera, with a resolution of 2912×2912 and a 40-degree visual field angle.

This dataset was collaboratively developed by Papageorgiou Hospital and Aristotle University of Thessaloniki, and was publicly released in 2017. The data was sourced from 39 patients affiliated with the University of Thessaloniki. The core contributing authors are C. Hernández-Matas, X. Zabulis Triantafyllou, P. Avantis, S. Douma, and A. A. Argyros, with the associated academic paper titled "FIRE: Fundus Image Registration Dataset".

搜集汇总

背景与挑战

背景概述

FIRE数据集是一个专门用于眼底图像配准的视网膜图像数据集，包含129张图像组合成134对，图像分辨率为2912*2912，由-210眼底摄像机采集。该数据集由医院和大学合作于2017年发布，基于39名患者的数据，旨在支持眼底图像配准研究。