AUTOMATIC RETINAL VESSEL DETECTION AND TORTUOSITY MEASUREMENT
نویسندگان
چکیده
منابع مشابه
Measurement and classification of retinal vascular tortuosity
Automatic measurement of blood vessel tortuosity is a useful capability for automatic ophthalmological diagnostic tools. We describe a suite of automated tortuosity measures for blood vessel segments extracted from RGB retinal images. The tortuosity measures were evaluated in two classification tasks: (1) classifying the tortuosity of blood vessel segments and (2) classifying the tortuosity of ...
متن کاملAutomated measurement of retinal vascular tortuosity
Automatic measurement of blood vessel tortuosity is a useful capability for automatic ophthalmological diagnostic tools. We describe a suite of automated tortuosity measures for blood vessel segments extracted from RGB retinal images. The tortuosity measures were evaluated in two classification tasks: (1) classifying the tortuosity of blood vessel segments and (2) classifying the tortuosity of ...
متن کاملA novel method for the automatic evaluation of retinal vessel tortuosity
Tortuosity is among the first alterations in retinal vessel network to appear in many retinopathies. Automatic evaluation of retinal vessel tortuosity is thus a valuable tool for early detection of vascular suffering. Quite a few techniques for tortuosity measurement and classification have been proposed, but they do not always match the clinical concept of tortuosity. This justifies the need f...
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Diabetic Retinopathy is the most common cause of blindness in the working population of the western world and is very common among people who suffer from diabetes. Fortunately, during a clinical examination an ophthalmologist is able to determine the onset of the disease by taking certain features of the retinal vessels of the fundus into account. These features include the narrowing of vessels...
متن کاملMeasurement and classi cation of retinal vascular tortuosity
Automatic measurement of blood vessel tortuosity is a useful capability for automatic ophthal-mological diagnostic tools. We describe a suite of automated tortuosity measures for blood vessel segments extracted from RGB retinal images. The tortuosity measures were evaluated in two classii-cation tasks: (1) classifying the tortuosity of blood vessel segments and (2) classifying the tortuosity of...
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ژورنال
عنوان ژورنال: Image Analysis & Stereology
سال: 2016
ISSN: 1854-5165,1580-3139
DOI: 10.5566/ias.1421