Abstract：
: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.
journal_name
Indian J Ophthalmoljournal_title
Indian journal of ophthalmologyauthors
Valverde C,Garcia M,Hornero R,Lopez-Galvez MIdoi
10.4103/0301-4738.178140subject
Has Abstractpub_date
2016-01-01 00:00:00pages
26-32issue
1eissn
0301-4738issn
1998-3689pii
IndianJOphthalmol_2016_64_1_26_178140journal_volume
64pub_type
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