IDRiD(Indian Diabetic Retinopathy Image Dataset)

糖尿病视网膜病变是可避免视力障碍的最普遍原因，主要影响世界上的工作年龄人口。最近的研究让人们更好地了解临床眼保健实践中的要求，以确定更好、更便宜的视网膜疾病识别、管理、诊断和治疗方法。糖尿病视网膜病变筛查计划的重要性和难以以合理的成本实现可靠的糖尿病视网膜病变早期诊断需要注意开发计算机辅助诊断工具。视网膜图像分析中的计算机辅助疾病诊断可以简化对糖尿病人群的大规模筛查，并帮助临床医生更有效地利用他们的时间。计算能力、通信系统和机器学习技术的最新技术进步为生物医学工程师和计算机科学家提供了满足临床实践要求的机会。多样化和具有代表性的视网膜图像集对于开发和测试数字筛查程序及其核心的自动化算法至关重要。据我们所知，这一挑战的数据库 IDRiD（印度糖尿病视网膜病变图像数据集）是第一个代表印度人口的数据库。此外，它是唯一一个包含典型糖尿病视网膜病变病变和以像素级别注释的正常视网膜结构的数据集。该数据集提供了有关糖尿病视网膜病变的疾病严重程度以及每张图像的糖尿病黄斑水肿的信息。这使其非常适合用于早期检测糖尿病视网膜病变的图像分析算法的开发和评估。

Diabetic retinopathy is the most prevalent cause of avoidable visual impairment, primarily affecting the global working-age population. Recent research has enhanced understanding of the requirements in clinical eye care practices to develop better, more cost-effective approaches for retinal disease recognition, management, diagnosis, and treatment. The significance of diabetic retinopathy screening programs and the challenge of achieving reliable early diagnosis of diabetic retinopathy at a reasonable cost have highlighted the need for developing computer-aided diagnostic tools. Computer-aided disease diagnosis through retinal image analysis can streamline large-scale screening of diabetic populations and assist clinicians in utilizing their time more efficiently. Recent technological advances in computing power, communication systems, and machine learning have provided biomedical engineers and computer scientists with opportunities to meet the demands of clinical practice. Diverse and representative retinal image datasets are critical for developing and validating digital screening programs and the automated algorithms that underpin them. To the best of our knowledge, the IDRiD (Indian Diabetic Retinopathy Image Dataset) is the first dataset representative of the Indian population to address this challenge. Additionally, it is the only dataset that contains both typical diabetic retinopathy lesions and normal retinal structures annotated at the pixel level. This dataset provides information on the severity of diabetic retinopathy and diabetic macular edema for each image, making it highly suitable for the development and evaluation of image analysis algorithms for the early detection of diabetic retinopathy.

搜集汇总

背景与挑战

背景概述

IDRiD是一个专注于糖尿病视网膜病变的医疗图像数据集，首次代表印度人口，包含像素级别的病变和正常结构注释，并提供疾病严重程度和黄斑水肿信息。该数据集适用于开发早期检测算法，支持计算机辅助诊断工具的测试和优化。