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学者姓名：余轮
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Abstract ：
Retinal image quality assessment (RIQA) is one of the key components in screening for diabetic retinopathy (DR). As one of the most serious complications of diabetes, DR has become a leading cause of blindness in adults globally. DR screening is essential to achieve early diagnosis so that effective treatment could be provided timely. However, the collected images of medically unsatisfactory quality always lead to failure of diagnosis and waste of ophthalmologists' precious time. Hence, the first step in a good DR screening program is verifying retinal images of good quality. In this paper, we provide a systematic review on automated assessment of retinal image quality for DR screening. Scheme and parameters for RIQA are firstly presented. Next, we provide detailed understanding of the existing RIQA techniques, algorithms and methodologies, including brief description and analysis of each existing state-of-art approaches and comparison between such methods. Datasets and evaluation metrics are also illustrated. Finally, several challenges and future research directions are summarized and discussed.
Keyword ：
Diabetic retinopathy Diabetic retinopathy Retinal image Retinal image Retinal image quality assessment Retinal image quality assessment Screening Screening
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| GB/T 7714 | Lin, Jiawen , Yu, Lun , Weng, Qian et al. Retinal image quality assessment for diabetic retinopathy screening: A survey [J]. | MULTIMEDIA TOOLS AND APPLICATIONS , 2020 , 79 (23-24) : 16173-16199 . |
| MLA | Lin, Jiawen et al. "Retinal image quality assessment for diabetic retinopathy screening: A survey" . | MULTIMEDIA TOOLS AND APPLICATIONS 79 . 23-24 (2020) : 16173-16199 . |
| APA | Lin, Jiawen , Yu, Lun , Weng, Qian , Zheng, Xianghan . Retinal image quality assessment for diabetic retinopathy screening: A survey . | MULTIMEDIA TOOLS AND APPLICATIONS , 2020 , 79 (23-24) , 16173-16199 . |
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Automatic optic disk (OD) segmentation is an important tool for early detection of eye diseases. In this article, we proposed a Res-UNet network by applying residual learning module and other improvements in U-Net for optic disk segmentation in retinal image. Since training data available is insufficient, we enlarge the data set by generating data pieces. Res-UNet is then trained to classify each pixel of the input retinal image. Finally, the predicted probability map is further post-processed with morphological technique to get final OD segmentation result. Experiments on the public DRISHTI-GS data set including comparison with the best known methods show that the proposed model outperforms most existing methods on several metrics. © 2020 Computer Society of the Republic of China. All rights reserved.
Keyword ：
Image enhancement Image enhancement Image segmentation Image segmentation Ophthalmology Ophthalmology
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| GB/T 7714 | Lin, Jia-Wen , Liao, Xiang-Wen , Yu, Lun et al. Res-UNet based optic disk segmentation in retinal image [J]. | Journal of Computers (Taiwan) , 2020 , 31 (3) : 183-194 . |
| MLA | Lin, Jia-Wen et al. "Res-UNet based optic disk segmentation in retinal image" . | Journal of Computers (Taiwan) 31 . 3 (2020) : 183-194 . |
| APA | Lin, Jia-Wen , Liao, Xiang-Wen , Yu, Lun , Pan, Jeng-Shyang . Res-UNet based optic disk segmentation in retinal image . | Journal of Computers (Taiwan) , 2020 , 31 (3) , 183-194 . |
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In order to solve the current domestic sheet metal enterprise users has increased rapidly, but there are still most bending machine or manual operation problem, involving the employment difficult problems, according to labor shortage problem, must promote intelligent enterprise transformation, realize the exchange Labour 'machine', the development and application of nc bending robot system is the inevitable developing trend of sheet metal industry, speed adaptive speed and oscillation is important in the development and application of nc bending robot system. This paper describes the system model of the speed adaptive speed and swing of the CNC bending robot system, and analyzes the performance of the speed adaptive speed and swing system comprehensively. The results of computer simulation show the consistency between simulation and theory. © Published under licence by IOP Publishing Ltd.
Keyword ：
Intelligent robots Intelligent robots Planning Planning Sheet metal Sheet metal Speed Speed Sustainable development Sustainable development
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| GB/T 7714 | She, Minghui , Weng, Wei , Chen, Huihuang et al. Based on Numerical Control Fold the Speed of Curved Robot System from Meet Speed with Swing to Study [C] . 2020 . |
| MLA | She, Minghui et al. "Based on Numerical Control Fold the Speed of Curved Robot System from Meet Speed with Swing to Study" . (2020) . |
| APA | She, Minghui , Weng, Wei , Chen, Huihuang , Yang, Adi , Yu, Lun . Based on Numerical Control Fold the Speed of Curved Robot System from Meet Speed with Swing to Study . (2020) . |
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Retinal vessel segmentation is a significant problem in the analysis of fundus images. A novel deep learning structure called the Gaussian net (GNET) model combined with a saliency model is proposed for retinal vessel segmentation. A saliency image is used as the input of the GNET model replacing the original image. The GNET model adopts a bilaterally symmetrical structure. In the left structure, the first layer is upsampling and the other layers are max-pooling. In the right structure, the final layer is max-pooling and the other layers are upsampling. The proposed approach is evaluated using the DRIVE database. Experimental results indicate that the GNET model can obtain more precise features and subtle details than the UNET models. The proposed algorithm performs well in extracting vessel networks, and is more accurate than other deep learning methods. Retinal vessel segmentation can help extract vessel change characteristics and provide a basis for screening the cerebrovascular diseases.
Keyword ：
Feature learning Feature learning Gaussian net (GNET) Gaussian net (GNET) Retinal vessel segmentation Retinal vessel segmentation Saliency model Saliency model TP391 TP391
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| GB/T 7714 | Xue, Lan-yan , Lin, Jia-wen , Cao, Xin-rong et al. A saliency and Gaussian net model for retinal vessel segmentation [J]. | FRONTIERS OF INFORMATION TECHNOLOGY & ELECTRONIC ENGINEERING , 2019 , 20 (8) : 1075-1086 . |
| MLA | Xue, Lan-yan et al. "A saliency and Gaussian net model for retinal vessel segmentation" . | FRONTIERS OF INFORMATION TECHNOLOGY & ELECTRONIC ENGINEERING 20 . 8 (2019) : 1075-1086 . |
| APA | Xue, Lan-yan , Lin, Jia-wen , Cao, Xin-rong , Zheng, Shao-hua , Yu, Lun . A saliency and Gaussian net model for retinal vessel segmentation . | FRONTIERS OF INFORMATION TECHNOLOGY & ELECTRONIC ENGINEERING , 2019 , 20 (8) , 1075-1086 . |
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Article have summarized application sun energy in regenerative energy generate electricity the related content of systematic importance. On this foundation, have led into single very type three-phase current type sun energy and net inverter systematic model. With the sampling sequence theoretical and fast Fourier of frequency domain, it is the regular method that describes control strategy specificly to alternate technology with I interval (0 pi 1/3 pi), for in I interval 7 alternate mould form in, analyse single very type current type sun energy specificly and net inverter system the realization of control method have gone on analyse comparatively in detail. The analog result of computer has shown the consistency of emulation and theory.
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| GB/T 7714 | She, Minghui , Yang, Adi , Chen, Huihuang et al. Based on Single Very Type Current Type Sun Energy and the Analysis Research of Net inverter [C] . 2019 . |
| MLA | She, Minghui et al. "Based on Single Very Type Current Type Sun Energy and the Analysis Research of Net inverter" . (2019) . |
| APA | She, Minghui , Yang, Adi , Chen, Huihuang , Yu, Lun . Based on Single Very Type Current Type Sun Energy and the Analysis Research of Net inverter . (2019) . |
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Abstract ：
硬性渗出是糖尿病视网膜病变的重要表现和诊断依据.针对硬性渗出检测容易受到图像背景和噪声干扰的问题,提出基于邻域约束模型的眼底图像硬性渗出聚类检测方法.首先设定检测区域,结合区域像素的灰度和空间信息定义目标检测函数,通过迭代计算完成图像的聚类分割;然后计算邻域的灰度差异,将最大灰度变化作为相似性判决的约束条件,进而判定每个聚类图像是否属于硬性渗出.在公开的眼底图像数据库上进行实验的结果表明,该方法能有效地识别和检测眼底图像中可能存在的硬性渗出,对正常图像的判断正确率达到90%,对存在病变图像的检测灵敏度和阳性预测值分别达到79%和81%,有助于眼底疾病的计算机辅助诊断.
Keyword ：
眼底图像 眼底图像 硬性渗出 硬性渗出 聚类检测 聚类检测 邻域约束模型 邻域约束模型
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| GB/T 7714 | 曹新容 , 林嘉雯 , 薛岚燕 et al. 邻域约束模型的眼底图像硬性渗出聚类检测方法 [J]. | 计算机辅助设计与图形学学报 , 2018 , 30 (11) : 2093-2100 . |
| MLA | 曹新容 et al. "邻域约束模型的眼底图像硬性渗出聚类检测方法" . | 计算机辅助设计与图形学学报 30 . 11 (2018) : 2093-2100 . |
| APA | 曹新容 , 林嘉雯 , 薛岚燕 , 余轮 . 邻域约束模型的眼底图像硬性渗出聚类检测方法 . | 计算机辅助设计与图形学学报 , 2018 , 30 (11) , 2093-2100 . |
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视盘的快速定位与边缘分割是计算机辅助诊断的重要研究课题。本研究提出了一种有效的视盘分割新方法,将人眼视觉特性引入眼底图像的分析与处理。本文提出的这一方法充分考虑视盘在眼底图像中的形态特征,通过快速定位感兴趣区域,同时融合视盘的亮度、颜色和空间分布等视觉显著性特征,生成了基于像素距离的显著性图,并应用自适应阈值分割视盘。在此基础上,进一步提出旋转扫描方法,以减少血管对视盘完整性的影响和干扰,最终获得连续完整的边缘轮廓。然后,本课题组在眼底图像数据库Drishti-GS中验证提出的视盘边缘分割方法是否有效。本文研究结果显示,该方法简单快捷,具有良好的性能指标,能达到眼科专家的分割水平,今后或有助于...
Keyword ：
旋转扫描 旋转扫描 视盘分割 视盘分割 视觉显著性 视觉显著性
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| GB/T 7714 | 曹新容 , 薛岚燕 , 林嘉雯 et al. 基于视觉显著性和旋转扫描的视盘分割新方法 [J]. | 生物医学工程学杂志 , 2018 , 35 (02) : 229-236 . |
| MLA | 曹新容 et al. "基于视觉显著性和旋转扫描的视盘分割新方法" . | 生物医学工程学杂志 35 . 02 (2018) : 229-236 . |
| APA | 曹新容 , 薛岚燕 , 林嘉雯 , 余轮 . 基于视觉显著性和旋转扫描的视盘分割新方法 . | 生物医学工程学杂志 , 2018 , 35 (02) , 229-236 . |
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Abstract ：
视盘的快速定位与边缘分割是计算机辅助诊断的重要研究课题.本研究提出了一种有效的视盘分割新方法,将人眼视觉特性引入眼底图像的分析与处理.本文提出的这一方法充分考虑视盘在眼底图像中的形态特征,通过快速定位感兴趣区域,同时融合视盘的亮度、颜色和空间分布等视觉显著性特征,生成了基于像素距离的显著性图,并应用自适应阈值分割视盘.在此基础上,进一步提出旋转扫描方法,以减少血管对视盘完整性的影响和干扰,最终获得连续完整的边缘轮廓.然后,本课题组在眼底图像数据库Drishti-GS中验证提出的视盘边缘分割方法是否有效.本文研究结果显示,该方法简单快捷,具有良好的性能指标,能达到眼科专家的分割水平,今后或有助于眼科疾病的计算机辅助诊断.
Keyword ：
旋转扫描 旋转扫描 视盘分割 视盘分割 视觉显著性 视觉显著性
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| GB/T 7714 | 曹新容 , 薛岚燕 , 林嘉雯 et al. 基于视觉显著性和旋转扫描的视盘分割新方法 [J]. | 生物医学工程学杂志 , 2018 , 35 (2) : 229-236 . |
| MLA | 曹新容 et al. "基于视觉显著性和旋转扫描的视盘分割新方法" . | 生物医学工程学杂志 35 . 2 (2018) : 229-236 . |
| APA | 曹新容 , 薛岚燕 , 林嘉雯 , 余轮 . 基于视觉显著性和旋转扫描的视盘分割新方法 . | 生物医学工程学杂志 , 2018 , 35 (2) , 229-236 . |
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Abstract ：
硬性渗出是糖尿病视网膜病变的重要表现和诊断依据.针对硬性渗出检测容易受到图像背景和噪声干扰的问题,提出基于邻域约束模型的眼底图像硬性渗出聚类检测方法.首先设定检测区域,结合区域像素的灰度和空间信息定义目标检测函数,通过迭代计算完成图像的聚类分割;然后计算邻域的灰度差异,将最大灰度变化作为相似性判决的约束条件,进而判定每个聚类图像是否属于硬性渗出.在公开的眼底图像数据库上进行实验的结果表明,该方法能有效地识别和检测眼底图像中可能存在的硬性渗出,对正常图像的判断正确率达到90％,对存在病变图像的检测灵敏度和阳性预测值分别达到79％和81％,有助于眼底疾病的计算机辅助诊断.
Keyword ：
眼底图像 眼底图像 硬性渗出 硬性渗出 聚类检测 聚类检测 邻域约束模型 邻域约束模型
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| GB/T 7714 | 曹新容 , 林嘉雯 , 薛岚燕 et al. 邻域约束模型的眼底图像硬性渗出聚类检测方法 [J]. | 计算机辅助设计与图形学学报 , 2018 , 30 (11) : 2093-2100 . |
| MLA | 曹新容 et al. "邻域约束模型的眼底图像硬性渗出聚类检测方法" . | 计算机辅助设计与图形学学报 30 . 11 (2018) : 2093-2100 . |
| APA | 曹新容 , 林嘉雯 , 薛岚燕 , 余轮 . 邻域约束模型的眼底图像硬性渗出聚类检测方法 . | 计算机辅助设计与图形学学报 , 2018 , 30 (11) , 2093-2100 . |
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Abstract ：
以DRIVE和STARE公开眼底库以及临床采集的眼底图像为实验对象,引入盒式滤波优化算法进行眼底图像自适应对比度增强,提出一种感兴趣测量区域视网膜动静脉管径的交互式测量方法.该方法采用2D Gabor滤波提取眼底血管轮廓进行阈值分割和细化提取骨架,对骨架上的分叉点进行连通域判断确定最终血管网络,采用交互式测量方法得到血管的直径.实验结果表明,本算法在眼底图像增强和眼底血管网络提取等方面效果较好,血管直径的交互式测量结果与人工测量结果相比较为接近,且计算速度较快,误差较低.
Keyword ：
交互式最优管径测量 交互式最优管径测量 盒式滤波 盒式滤波 自适应对比度增强 自适应对比度增强 血管网络 血管网络 视网膜 视网膜
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| GB/T 7714 | 薛岚燕 , 余轮 , 林嘉雯 et al. 视网膜血管直径交互式测量方法 [J]. | 福州大学学报（自然科学版） , 2018 , 46 (3) : 341-349 . |
| MLA | 薛岚燕 et al. "视网膜血管直径交互式测量方法" . | 福州大学学报（自然科学版） 46 . 3 (2018) : 341-349 . |
| APA | 薛岚燕 , 余轮 , 林嘉雯 , 曹新容 , 郑绍华 . 视网膜血管直径交互式测量方法 . | 福州大学学报（自然科学版） , 2018 , 46 (3) , 341-349 . |
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