Abstract:
:Retina is the interior part of human's eye, has a vital role in vision. The digital image captured by fundus camera is very useful to analyze the abnormalities in retina especially in retinal blood vessels. To get information of blood vessels through fundus retinal image, a precise and accurate vessels segmentation image is required. This segmented blood vessel image is most beneficial to detect retinal diseases. Many automated techniques are widely used for retinal vessels segmentation which is a primary element of computerized diagnostic systems for retinal diseases. The automatic vessels segmentation may lead to more challenging task in the presence of lesions and abnormalities. This paper briefly describes the various publicly available retinal image databases and various machine learning techniques. State of the art exhibited that researchers have proposed several vessel segmentation methods based on supervised and supervised techniques and evaluated their results mostly on publicly datasets such as digital retinal images for vessel extraction and structured analysis of the retina. A comprehensive review of existing supervised and unsupervised vessel segmentation techniques or algorithms is presented which describes the philosophy of each algorithm. This review will be useful for readers in their future research.
journal_name
Microsc Res Techjournal_title
Microscopy research and techniqueauthors
Akbar S,Sharif M,Akram MU,Saba T,Mahmood T,Kolivand Mdoi
10.1002/jemt.23172subject
Has Abstractpub_date
2019-02-01 00:00:00pages
153-170issue
2eissn
1059-910Xissn
1097-0029journal_volume
82pub_type
杂志文章,评审abstract::Ketogenic diets (KDs) have shown beneficial effects in experimental models of neurodegeneration, designating aged individuals as possible recipients. However, few studies have investigated their consequences on aging brain. Here, late-adult rats (19 months of age) were fed for 8 weeks with two medium chain triglycerid...
journal_title:Microscopy research and technique
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journal_title:Microscopy research and technique
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journal_title:Microscopy research and technique
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journal_title:Microscopy research and technique
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journal_title:Microscopy research and technique
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journal_title:Microscopy research and technique
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journal_title:Microscopy research and technique
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journal_title:Microscopy research and technique
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journal_title:Microscopy research and technique
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journal_title:Microscopy research and technique
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journal_title:Microscopy research and technique
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journal_title:Microscopy research and technique
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journal_title:Microscopy research and technique
pub_type: 杂志文章
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journal_title:Microscopy research and technique
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