• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Pattern Analysis and Applications >Computerised approaches for the detection of diabetic retinopathy using retinal fundus images: a survey
【24h】

Computerised approaches for the detection of diabetic retinopathy using retinal fundus images: a survey

机译：使用视网膜眼底图像检测糖尿病性视网膜病变的计算机方法：一项调查

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Eye-related disease such as diabetic retinopathy (DR) is a medical ailment in which the retina of the human eye is smashed because of damage to the tiny retinal blood vessels in the retina. Ophthalmologists identify DR based on various features such as the blood vessels, textures and pathologies. With the rapid development of methods of analysis of biomedical images and advanced computing techniques, image processing-based software for the detection of eye disease has been widely used as an important tool by ophthalmologists. In particular, computer vision-based methods are growing rapidly in the field of medical images analysis and are appropriate to advance ophthalmology. These tools depend entirely on visual analysis to identify abnormalities in Retinal Fundus images. During the past two decades, exciting improvement in the development of DR detection computerised systems has been observed. This paper reviews the development of analysing retinal images for the detection of DR in three aspects: automatic algorithms (classification or pixel to pixel methods), detection methods of pathologies from retinal fundus images, and extraction of blood vessels of retinal fundus image algorithms for the detection of DR. The paper presents a detailed explanation of each problem with respect to retinal images. The current techniques that are used to analyse retinal images and DR detection issues are also discussed in detail and recommendations are made for some future directions.
机译：诸如糖尿病性视网膜病（DR）等与眼睛相关的疾病是一种医疗疾病，其中，由于对视网膜中微小的视网膜血管造成损害，导致人眼的视网膜破裂。眼科医生根据各种特征（例如血管，纹理和病理）识别DR。随着生物医学图像分析方法和先进计算技术的飞速发展，用于检测眼疾的基于图像处理的软件已被眼科医生广泛用作重要工具。特别地，基于计算机视觉的方法在医学图像分析领域中正在迅速发展，并且适合于促进眼科学。这些工具完全依靠视觉分析来识别视网膜底图像中的异常。在过去的二十年中，已经发现DR检测计算机系统的开发取得了令人兴奋的进步。本文从以下三个方面综述了用于DR检测的视网膜图像分析技术的发展：自动算法（分类或像素到像素方法），视网膜眼底图像的病理学检测方法以及视网膜眼底图像算法的血管提取。检测DR。本文就视网膜图像提出了每个问题的详细解释。还详细讨论了用于分析视网膜图像和DR检测问题的当前技术，并提出了一些未来的建议。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号