Retinal Fundus Multi-Disease Image Dataset (RFMiD): A Dataset for Multi-Disease Detection Research
Retinal Fundus Multi-Disease Image Dataset (RFMiD): A Dataset for Multi-Disease Detection Research
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DOI：
10.3390/data6020014
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发表时间：
2021-02-01
期刊：
影响因子：
2.6
通讯作者：
Meriaudeau, Fabrice
中科院分区：
文献类型：
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作者：
Pachade, Samiksha;Porwal, Prasanna;Meriaudeau, Fabrice
世界在眼保健方面面临困难，包括治疗、预防质量、视力康复服务以及训练有素的眼保健专家的缺乏。早期发现和诊断眼部病变将能够预防视力障碍。限制眼科医生采用计算机辅助诊断工具的一项挑战是威胁视力的罕见疾病的数量，例如视网膜中央动脉闭塞或前部缺血性视神经病变，而其他疾病通常被忽视。在过去的二十年中，已经收集了许多公开的彩色眼底图像数据集，主要关注糖尿病视网膜病变、青光眼、年龄相关性黄斑变性和其他一些常见疾病。为了开发对常见疾病和罕见病理进行自动眼部疾病分类的方法，我们创建了一个新的视网膜眼底多疾病图像数据集（RFMiD）。它由使用三台不同眼底相机拍摄的 3200 张眼底图像组成，其中有 46 种情况，由两位高级视网膜专家一致裁决。据我们所知，我们的数据集 RFMiD 是唯一一个公开的数据集，包含了常规临床环境中出现的多种疾病。该数据集将有助于开发用于视网膜筛查的通用模型。
The world faces difficulties in terms of eye care, including treatment, quality of prevention, vision rehabilitation services, and scarcity of trained eye care experts. Early detection and diagnosis of ocular pathologies would enable forestall of visual impairment. One challenge that limits the adoption of computer-aided diagnosis tool by ophthalmologists is the number of sight-threatening rare pathologies, such as central retinal artery occlusion or anterior ischemic optic neuropathy, and others are usually ignored. In the past two decades, many publicly available datasets of color fundus images have been collected with a primary focus on diabetic retinopathy, glaucoma, age-related macular degeneration and few other frequent pathologies. To enable development of methods for automatic ocular disease classification of frequent diseases along with the rare pathologies, we have created a new Retinal Fundus Multi-disease Image Dataset (RFMiD). It consists of 3200 fundus images captured using three different fundus cameras with 46 conditions annotated through adjudicated consensus of two senior retinal experts. To the best of our knowledge, our dataset, RFMiD, is the only publicly available dataset that constitutes such a wide variety of diseases that appear in routine clinical settings. This dataset will enable the development of generalizable models for retinal screening.