Eye Center, The Second Affiliated Hospital, School of Medicine, Zhejiang University, Zhejiang Provincial Key Laboratory of Ophthalmology, Zhejiang Provincial Clinical Research Center for Eye Diseases, Zhejiang Provincial Engineering Institute on Eye Diseases, Zhejiang, Hangzhou, 310009, China.
College of Control Science and Engineering, Zhejiang University, Hangzhou, 310027, China.
Sci Data. 2023 May 17;10(1):286. doi: 10.1038/s41597-023-02188-x.
Image quality assessment (IQA) is significant for current techniques of image-based computer-aided diagnosis, and fundus imaging is the chief modality for screening and diagnosing ophthalmic diseases. However, most of the existing IQA datasets are single-center datasets, disregarding the type of imaging device, eye condition, and imaging environment. In this paper, we collected a multi-source heterogeneous fundus (MSHF) database. The MSHF dataset consisted of 1302 high-resolution normal and pathologic images from color fundus photography (CFP), images of healthy volunteers taken with a portable camera, and ultrawide-field (UWF) images of diabetic retinopathy patients. Dataset diversity was visualized with a spatial scatter plot. Image quality was determined by three ophthalmologists according to its illumination, clarity, contrast and overall quality. To the best of our knowledge, this is one of the largest fundus IQA datasets and we believe this work will be beneficial to the construction of a standardized medical image database.
图像质量评估（IQA）对于基于图像的计算机辅助诊断技术至关重要，眼底成像是眼科疾病筛查和诊断的主要方式。然而，现有的大多数 IQA 数据集都是单中心数据集，忽略了成像设备的类型、眼部状况和成像环境。在本文中，我们收集了一个多源异构眼底（MSHF）数据库。MSHF 数据集包含来自彩色眼底摄影（CFP）的 1302 张高分辨率正常和病变图像、使用便携式相机拍摄的健康志愿者的图像以及糖尿病视网膜病变患者的超广角（UWF）图像。通过空间散点图可视化数据集的多样性。三位眼科医生根据图像的照明、清晰度、对比度和整体质量来确定图像质量。据我们所知，这是最大的眼底 IQA 数据集之一，我们相信这项工作将有助于构建标准化的医学图像数据库。
