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Retinal Vessels Segmentation Techniques and Algorithms: A Survey

التفاصيل البيبلوغرافية
العنوان: Retinal Vessels Segmentation Techniques and Algorithms: A Survey
المؤلفون: Abdelrahman Elleithy, Jasem Almotiri, Khaled M. Elleithy
المصدر: Applied Sciences, Vol 8, Iss 2, p 155 (2018)
بيانات النشر: MDPI AG, 2018.
سنة النشر: 2018
مصطلحات موضوعية: genetic structures, adaptive thresholding, Glaucoma, 02 engineering and technology, Fundus (eye), multi-scaling, lcsh:Technology, 030218 nuclear medicine & medical imaging, lcsh:Chemistry, chemistry.chemical_compound, 0302 clinical medicine, 0202 electrical engineering, electronic engineering, information engineering, General Materials Science, Segmentation, Instrumentation, lcsh:QH301-705.5, Fluid Flow and Transfer Processes, medicine.diagnostic_test, General Engineering, Diabetic retinopathy, lcsh:QC1-999, Computer Science Applications, medicine.anatomical_structure, machine learning, fuzzy expert systems, 020201 artificial intelligence & image processing, Optic disc, medicine.medical_specialty, vessel tracking, 03 medical and health sciences, Ophthalmology, medicine, mathematical morphology, matched filters, fuzzy c means, business.industry, lcsh:T, Process Chemistry and Technology, Fundus photography, Retinal, Macular degeneration, medicine.disease, eye diseases, retinal vessels segmentation, chemistry, lcsh:Biology (General), lcsh:QD1-999, lcsh:TA1-2040, business, lcsh:Engineering (General). Civil engineering (General), level set, lcsh:Physics
الوصف: Retinal vessels identification and localization aim to separate the different retinal vasculature structure tissues, either wide or narrow ones, from the fundus image background and other retinal anatomical structures such as optic disc, macula, and abnormal lesions. Retinal vessels identification studies are attracting more and more attention in recent years due to non-invasive fundus imaging and the crucial information contained in vasculature structure which is helpful for the detection and diagnosis of a variety of retinal pathologies included but not limited to: Diabetic Retinopathy (DR), glaucoma, hypertension, and Age-related Macular Degeneration (AMD). With the development of almost two decades, the innovative approaches applying computer-aided techniques for segmenting retinal vessels are becoming more and more crucial and coming closer to routine clinical applications. The purpose of this paper is to provide a comprehensive overview for retinal vessels segmentation techniques. Firstly, a brief introduction to retinal fundus photography and imaging modalities of retinal images is given. Then, the preprocessing operations and the state of the art methods of retinal vessels identification are introduced. Moreover, the evaluation and validation of the results of retinal vessels segmentation are discussed. Finally, an objective assessment is presented and future developments and trends are addressed for retinal vessels identification techniques.
اللغة: English
تدمد: 2076-3417
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d87d14252d2c9792ad8ab6e5ccc94033
http://www.mdpi.com/2076-3417/8/2/155
Rights: OPEN
رقم الانضمام: edsair.doi.dedup.....d87d14252d2c9792ad8ab6e5ccc94033
قاعدة البيانات: OpenAIRE
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