Improved multi‐scale line detection method for retinal blood vessel segmentation
نویسندگان
چکیده
منابع مشابه
Automatic Segmentation of Retinal Blood Vessels Based on Improved Multiscale Line Detection
The appearance of retinal blood vessels is an important diagnostic indicator of serious disease, such as hypertension, diabetes, cardiovascular disease, and stroke. Automatic segmentation of the retinal vasculature is a primary step towards automatic assessment of the retinal blood vessel features. This paper presents an automated method for the enhancement and segmentation of blood vessels in ...
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Changes in retinal blood vessel features are precursors of serious diseases such as cardiovascular disease and stroke. Therefore, analysis of retinal vascular features can assist in detecting these changes and allow the patient to take action while the disease is still in its early stages. Automation of this process would help to reduce the cost associated with trained graders and remove the is...
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Retinal fundus imaging is widely used for eye examinations. The acquired images provide a unique view on the eye vasculature. The analysis of the vasculature has a high importance especially for detecting cardiovascular diseases. We present a multiscale algorithm for automatic retinal blood vessel segmentation, which is considered as a requirement for the diagnosis of vascular diseases. The alg...
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Automated detection of retinal blood vessels plays an important role in advancing the understanding of the mechanism, diagnosis and treatment of cardiovascular disease and many systemic diseases. Here, we propose a new framework for precisely segmenting vasculatures. The proposed framework consists of two steps. Inspired by the Retinex theory, a non-local total variation model is introduced to ...
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Segmentation of blood vessels in retinal images provides early diagnosis of diseases like glaucoma, diabetic retinopathy and macular degeneration. Among these diseases occurrence of Glaucoma is most frequent and has serious ocular consequences that can even lead to blindness, if it is not detected early. The clinical criteria for the diagnosis of glaucoma include intraocular pressure measuremen...
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ژورنال
عنوان ژورنال: IET Image Processing
سال: 2018
ISSN: 1751-9667,1751-9667
DOI: 10.1049/iet-ipr.2017.1071