检索结果-南通市图书馆

A Convolutional Neural Network Classifier VGG-19 Architecture for Lesion Detection and Grading in Diabetic Retinopathy Based on Deep Learning

引用

Computers, Materials & Continua 2021年第1期66卷 827-842页

作者： V.Sudha T.R.Ganeshbabu Department of Electronics and Communication Engineering Pavai College of TechnologyNamakkal637018India Department of Electronics and Communication Engineering Muthayammal Engineering CollegeRasipuram637408India

Diabetic Retinopathy(DR)is a type of disease in eyes as a result of a diabetic condition that ends up damaging the retina,leading to blindness or loss of *** and physiological retinal variations involving slowdown of blood flow in the retina,elevation of leukocyte cohesion,basement membrane dystrophy,and decline of pericyte cells,*** DR in its initial stage has no symptoms,early detection and automated diagnosis can prevent further visual *** this research,using a Deep Neural Network(DNN),segmentation methods are proposed to detect the retinal defects such as exudates,hemorrhages,microaneurysms from digital fundus images and then the conditions are classified accurately to identify the grades as mild,moderate,severe,no PDR,PDR in ***,saliency detection is applied on color images to detect maximum salient foreground objects from the ***,structure tensor is applied powerfully to enhance the local patterns of edge elements and intensity changes that occur on edges of the ***,active contours approximation is performed using gradient descent to segment the lesions from the ***,the output images from the proposed segmentation process are subjected to evaluate the ratio between the total contour area and the total true contour arc length to label the classes as mild,moderate,severe,No PDR and *** on the computed ratio obtained from segmented images,the severity levels were ***,statistical parameters like the mean and the standard deviation of pixel intensities,mean of hue,saturation and deviation clustering,are estimated through K-means,which are computed as features from the output images of the proposed segmentation *** these derived feature sets as input to the classifier,the classification of DR was ***,a VGG-19 deep neural network was trained and tested using the derived feature sets from the KAGGLE fundus image dataset containing 35,126 images in

关键词： Diabetic retinopathy saliency map structure tensor gradient descent method exudates haemorrhages microaneurysms VGG-19

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Improving diabetic and hypertensive retinopathy with a medical food containing L-methylfolate: a preliminary report

引用

Eye and Vision 2019年第1期6卷 164-174页

作者： Jianhua Wang Craig Brown Ce Shi Justin Townsend Giovana Rosa Gameiro Peng Wang Hong Jiang Bascom Palmer Eye Institute University of MiamiMiller School of Medicine1638 NW 10th AvenueMcKnight Building-Room 202AMiamiFL 33136USA Department of Ophthalmology College of MedicineUniversity of Arkansas for Medical SciencesFayettevilleARUSA School of Ophthalmology and Optometry Wenzhou Medical UniversityWenzhouZhejiangChina Department of Ophthalmology Shanghai General HospitalShanghai Jiaotong University School of MedicineShanghaiChina

Background:Homocysteine and vitamin D may play a role in the development of diabetic and hypertensive retinopathy in patients with diabetes mellitus(DM)and *** food with L-methylfolate and vitamin D theoretically may improve diabetic and hypertensive retinopathy,however,the outcome of these nutritional approaches has not been fully examined.A retrospective case review was done of cases of retinopathy reversal in patients on Ocufolin^(TM) and a similar nonprescription multivitamin,Eyefolate^(TM).In this study,they were administered L-methylfolate(2.7 mg and 3.0 mg,respectively)and vitamin D3(4500 IU each).These dosages are significantly above the RDA but well below levels associated with *** presentation:Seven patients had nonproliferative diabetic retinopathy(NPDR)and some of them had *** patient had only hypertensive *** patients were instructed to take Ocufolin^(TM)medical food as a food *** genetic testing for MTHFR polymorphisms was *** photography was used to document the fundus condition of the enrolled eyes in 8 NPDR patients at the initial and follow-up ***(MA)and exudates were observed to be improved in some trial *** subjects had one or more MTHFR *** had diabetic retinopathy,hypertensive retinopathy,or *** were resolved,and exudates were decreased in 8/8 cases after taking the medical *** edema was found in 2/8 cases and improved or resolved in both cases after taking the medical food or the *** best corrected visual activity was stable or improved in 8/8 ***:We report a series of diabetic and hypertensive retinopathy cases with MTHFR polymorphisms and the improvement of retinal microvasculature(mainly MAs)in serial fundus photography after taking a medical food or supplement containing L-methylfolate and vitamin *** appears that the use of nutritional supplements and medical foods containin

关键词： Diabetes Homocysteine L-methylfolate microaneurysms MTHFR C677T Retinopathy Vitamin D

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Automated Diabetic Retinopathy Detection Using Bag of Words Approach

引用

Journal of Biomedical Science and Engineering 2017年第5期10卷 86-96页

作者： Monzurul Islam Anh V. Dinh Khan A. Wahid Department of Electrical and Computer Engineering University of Saskatchewan Saskatoon Canada

Imaging and computer vision systems offer the ability to study quantitatively on human physiology. On contrary, manual interpretation requires tremendous amount of work, expertise and excessive processing time. This work presents an algorithm that integrates image processing and machine learning to diagnose diabetic retinopathy from retinal fundus images. This automated method classifies diabetic retinopathy (or absence thereof) based on a dataset collected from some publicly available database such as DRIDB0, DRIDB1, MESSIDOR, STARE and HRF. Our approach utilizes bag of words model with Speeded Up Robust Features and demonstrate classification over 180 fundus images containing lesions (hard exudates, soft exudates, microaneurysms, and haemorrhages) and non-lesions with an accuracy of 94.4%, precision of 94%, recall and f1-score of 94% and AUC of 95%. Thus, the proposed approach presents a path toward precise and automated diabetic retinopathy diagnosis on a massive scale.

关键词： Diabetic Retinopathy Bag of Words Speeded Up Robust Features Hard Exu-dates Soft Exudates microaneurysms Haemorrhages and SVM

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

欢迎您,

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

在线全文

在线全文

请选择保存的检索档案：

请选择收藏分类：

通借通还

欢迎您,

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

在线全文

在线全文

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：