Home About us Editorial board Ahead of print Current issue Search Archives Submit article Instructions Subscribe Contacts Login 
  • Users Online: 1116
  • Home
  • Print this page
  • Email this page
REVIEW ARTICLE
Year : 2016  |  Volume : 64  |  Issue : 1  |  Page : 26-32

Automated detection of diabetic retinopathy in retinal images


1 Department of Ophthalmology, Hospital de Medina del Campo, Medina del Campo, Valladolid, Spain
2 Department T.S.C.I.T, E.T.S., Biomedical Engineering Group, Ingenieros de Telecomunicación, University of Valladolid, Valladolid, Spain
3 Department of Ophthalmology, Hospital ClÍnico Universitario, Valladolid, Spain

Correspondence Address:
Carmen Valverde
Department of Ophthalmology, Hospital de Medina del Campo, Medina del Campo
Spain
Login to access the Email id

Source of Support: None, Conflict of Interest: None


DOI: 10.4103/0301-4738.178140

Rights and Permissions

Diabetic retinopathy (DR) is a disease with an increasing prevalence and the main cause of blindness among working-age population. The risk of severe vision loss can be significantly reduced by timely diagnosis and treatment. Systematic screening for DR has been identified as a cost-effective way to save health services resources. Automatic retinal image analysis is emerging as an important screening tool for early DR detection, which can reduce the workload associated to manual grading as well as save diagnosis costs and time. Many research efforts in the last years have been devoted to developing automatic tools to help in the detection and evaluation of DR lesions. However, there is a large variability in the databases and evaluation criteria used in the literature, which hampers a direct comparison of the different studies. This work is aimed at summarizing the results of the available algorithms for the detection and classification of DR pathology. A detailed literature search was conducted using PubMed. Selected relevant studies in the last 10 years were scrutinized and included in the review. Furthermore, we will try to give an overview of the available commercial software for automatic retinal image analysis.


[FULL TEXT] [PDF]*
Print this article     Email this article
 Next article
 Previous article
 Table of Contents

 Similar in PUBMED
   Search Pubmed for
   Search in Google Scholar for
 Related articles
 Citation Manager
 Access Statistics
 Reader Comments
 Email Alert *
 Add to My List *
 * Requires registration (Free)
 

 Article Access Statistics
    Viewed3725    
    Printed26    
    Emailed1    
    PDF Downloaded675    
    Comments [Add]    

Recommend this journal