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学者姓名：余轮
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Abstract ：
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 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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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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Optic disk (OD) is considered one of the main features of a retinal image. OD detection plays an important role in retinopathy analysis. In this study, a new OD detection method using saliency model based on clustering is presented to simulate the human filtering mechanism of visual system for OD detection of fundus images. First, the candidates of OD regions are extracted from fundus images using k-means clustering. Second, two saliencies of sub-regions are computed, and the maximum saliency region from the image is selected as the OD region. Third, the original OD contour can be extracted by ellipse fitting after detecting the convex hull of the OD. Finally, the OD contour can be accurately segmented by active contour. A test is performed with 1422 colored fundus images from four different colored fundus image databases. Experimental results indicate that the detection accuracy for OD is up to 94%, and the segmentation accuracy is up to 88% for Drishti-GS database. The proposed method effectively overcomes the influence of large bright lesions on OD detection and is applicable to incomplete ODs. The method also does not rely on vessel segmentation, which results in short computation time. This study also confirms the effectiveness and robustness of the proposed algorithm. © 2018 Computer Society of the Republic of China. All rights reserved.
Keyword ：
Computational geometry Computational geometry Image segmentation Image segmentation K-means clustering K-means clustering Ophthalmology Ophthalmology
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| GB/T 7714 | Xue, Lan-Yan , Lin, Jia-Wen , Cao, Xin-Rong et al. Optic disk detection and segmentation for retinal images using saliency model based on clustering [J]. | Journal of Computers (Taiwan) , 2018 , 29 (5) : 66-79 . |
| MLA | Xue, Lan-Yan et al. "Optic disk detection and segmentation for retinal images using saliency model based on clustering" . | Journal of Computers (Taiwan) 29 . 5 (2018) : 66-79 . |
| APA | Xue, Lan-Yan , Lin, Jia-Wen , Cao, Xin-Rong , Zheng, Shao-Hua , Yu, Lun . Optic disk detection and segmentation for retinal images using saliency model based on clustering . | Journal of Computers (Taiwan) , 2018 , 29 (5) , 66-79 . |
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In this paper, we present an algorithm for the effective segmentation of retinal blood vessels in vessel quantization for assessing the risk of cerebrovascular diseases. Given that the vessel is the highlight of the fundus image and has a characteristic texture, we adopt color and texture as the saliency features for vessel extraction combined with region optimization. The optimal thresholding can be obtained through the gray histogram thresholding method to segment the vessel. Moreover, morphological operators are applied to preserve the remaining small vessels considering the loss of small vessels. Experiments are designed to evaluate the performance of the proposed models with more than 94% accuracy. Experimental results reveal that the blood vessel can be effectively detected by applying our method on the retinal images. © 2017, © The Author(s) 2017.
Keyword ：
Blood Blood Blood vessels Blood vessels Ophthalmology Ophthalmology Risk assessment Risk assessment Textures Textures
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| GB/T 7714 | Xue, Lan-Yan , Lin, Jia-Wen , Cao, Xin-Rong et al. Retinal blood vessel segmentation using saliency detection model and region optimization [J]. | Journal of Algorithms and Computational Technology , 2018 , 12 (1) : 3-12 . |
| MLA | Xue, Lan-Yan et al. "Retinal blood vessel segmentation using saliency detection model and region optimization" . | Journal of Algorithms and Computational Technology 12 . 1 (2018) : 3-12 . |
| APA | Xue, Lan-Yan , Lin, Jia-Wen , Cao, Xin-Rong , Yu, Lun . Retinal blood vessel segmentation using saliency detection model and region optimization . | Journal of Algorithms and Computational Technology , 2018 , 12 (1) , 3-12 . |
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Optic disc (OD) is one of the most important structures in retina. The automatic detection of OD is essential to make Diabetic retinopathy examination more effective. In this paper, a fast optic disc localization algorithm is described. Our approach begins with pre-processing, and then the main vessels in fundus images are extracted based on morphology methods. In the next step, parabolic fitting algorithm by the least square method is applied to express the main vessels. Finally, we judge the fitting result and defined the apex as the OD center. The proposed method was evaluated in 3 public datasets. An average accuracy of 99.05% at the average time of 1.08 second was achieved.
Keyword ：
Diabetic retinopathy Diabetic retinopathy fundus image fundus image medical image analysis medical image analysis optic disc (OD) localization optic disc (OD) localization parabolic fitting parabolic fitting
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| GB/T 7714 | Lin, Jia-wen , Weng, Qian , Yu, Lun . Fast Fundus Optic Disc Localization Based on Main Blood Vessel Extraction [C] . 2018 : 242-246 . |
| MLA | Lin, Jia-wen et al. "Fast Fundus Optic Disc Localization Based on Main Blood Vessel Extraction" . (2018) : 242-246 . |
| APA | Lin, Jia-wen , Weng, Qian , Yu, Lun . Fast Fundus Optic Disc Localization Based on Main Blood Vessel Extraction . (2018) : 242-246 . |
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