Mule_Fundus_Image

Fundus images are captured by handheld fundus camera. Currently, only part of fundus image are annotated with forvea location. Compared to desktop fundus camera, handheld camera suffers more unstable capturing and uncontrolled envrionments. We are now focusing on the enhancement algorithm for this kind of low-quality fundus image.
The Mule dataset is a fundus image dataset with reflection of retinal nerve fiber layer (RNFL). It is composed of 538 color fundus images captured using a handheld fundus camera (Mocular CFC-X camera with field of view equals to 45 degrees). Each image is preprocessed into 486*486 pixels and data desensitization is performed. The Mule dataset is a subset of a large-scale database that was collected from a fundus screening program at the Community Hospitals in the Lin'an District of Hangzhou, China. Patient information such as the age, gender, and ethnicity are not provided

眼底图像由手持眼底相机拍摄。目前仅对部分眼底图像标注了黄斑中心凹位置。与台式眼底相机相比，手持相机的拍摄过程更不稳定，且拍摄环境更难控制。本团队目前正聚焦于这类低质量眼底图像的增强算法研究。
Mule数据集是一类带有视网膜神经纤维层（retinal nerve fiber layer，RNFL）反射特征的眼底图像数据集。该数据集包含538张由手持眼底相机（Mocular CFC-X相机，视场角为45度）拍摄的彩色眼底图像。每张图像均被预处理为486×486像素，并完成了数据脱敏处理。Mule数据集源自中国杭州市临安区社区医院眼底筛查项目所采集的大规模数据库，为其中的一个子集。未提供患者的年龄、性别、种族等个人信息。

搜集汇总

背景与挑战

背景概述

Mule_Fundus_Image是一个包含538张彩色眼底图像的数据集，这些图像使用手持眼底相机（Mocular CFC-X相机，视野为45度）拍摄，并经过预处理和脱敏处理。数据集主要用于眼底图像增强算法的研究，特别关注低质量眼底图像的增强。