摘要翻译：
糖尿病视网膜病变(DR)是一种长期（20年）影响糖尿病患者的视网膜疾病。DR是全世界可预防的失明的主要原因之一。如果不及早发现，病人可能会发展到不可逆转的失明的严重阶段。眼科医生的缺乏给日益增长的糖尿病患者带来了严重的问题。建议开发一个自动DR筛查系统，以帮助眼科医生做出决策。当DR存在时，硬渗出液发展。为了在早期发现DR，检测硬渗出液是很重要的。已有研究利用常规图像处理技术和机器学习技术来检测硬渗出液。本文提出了一种深度学习算法，用于检测视网膜眼底图像中的硬渗出物。
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英文标题：
《Detection of Hard Exudates in Retinal Fundus Images using Deep Learning》
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作者：
Avula Benzamin and Chandan Chakraborty
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最新提交年份：
2018
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分类信息：

一级分类：Electrical Engineering and Systems Science        电气工程与系统科学
二级分类：Image and Video Processing        图像和视频处理
分类描述：Theory, algorithms, and architectures for the formation, capture, processing, communication, analysis, and display of images, video, and multidimensional signals in a wide variety of applications. Topics of interest include: mathematical, statistical, and perceptual image and video modeling and representation; linear and nonlinear filtering, de-blurring, enhancement, restoration, and reconstruction from degraded, low-resolution or tomographic data; lossless and lossy compression and coding; segmentation, alignment, and recognition; image rendering, visualization, and printing; computational imaging, including ultrasound, tomographic and magnetic resonance imaging; and image and video analysis, synthesis, storage, search and retrieval.
用于图像、视频和多维信号的形成、捕获、处理、通信、分析和显示的理论、算法和体系结构。感兴趣的主题包括：数学，统计，和感知图像和视频建模和表示；线性和非线性滤波、去模糊、增强、恢复和重建退化、低分辨率或层析数据；无损和有损压缩编码；分割、对齐和识别；图像渲染、可视化和打印；计算成像，包括超声、断层和磁共振成像；以及图像和视频的分析、合成、存储、搜索和检索。
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英文摘要：
  Diabetic Retinopathy (DR) is a retinal disorder that affects the people having diabetes mellitus for a long time (20 years). DR is one of the main reasons for the preventable blindness all over the world. If not detected early the patient may progress to severe stages of irreversible blindness. Lack of Ophthalmologists poses a serious problem for the growing diabetes patients. It is advised to develop an automated DR screening system to assist the Ophthalmologist in decision making. Hard exudates develop when DR is present. It is important to detect hard exudates in order to detect DR in an early stage. Research has been done to detect hard exudates using regular image processing techniques and Machine Learning techniques. Here, a deep learning algorithm has been presented in this paper that detects hard exudates in fundus images of the retina.
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PDF链接：
https://arxiv.org/pdf/1808.03656