Arteriovenous ratio and papilledema based hybrid decision support system for detection and grading of hypertensive retinopathy

Akbar, Shahzad; Akram, M. Usman; Sharif, Muhammad; Tariq, Anam; Yasin, Ubaid Ullah

doi:10.1016/j.cmpb.2017.11.014

Cited by 77 publications

(33 citation statements)

References 38 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…In computer aided diagnosis for retinal diseases, the precise retinal blood vessel segmentation process is compulsory such as Amin, Sharif, and Yasmin (), Amin, Sharif, Yasmin, Ali, and Fernandes (), Qureshi, Sharif, Yasmin, Raza, and Javed (), Shabbir, Sharif, Nisar, Yasmin, and Fernandes (), Akbar, Akram, Sharif, Tariq, & ullah Yasin (),Akbar, Akram, Sharif, Tariq, and Khan (), and Akbar, Akram, Sharif, Tariq, and ullah Yasin (). The article explains an analysis of segmentation methods for retinal vessel through which the readers can understand the existing literature and provides a framework of existing research which will provide a foundation for future research and publicly available databases for different users in research.…”

Section: Resultsmentioning

confidence: 99%

Automated techniques for blood vessels segmentation through fundus retinal images: A review

Akbar

Sharif

Akram

et al. 2019

Microscopy Res & Technique

Self Cite

View full text Add to dashboard Cite

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. K E Y W O R D S retinal blood vessels, retinal diseases, retinal image databases, supervised techniques, unsupervised techniques

show abstract

Section: Resultsmentioning

confidence: 99%

Automated techniques for blood vessels segmentation through fundus retinal images: A review

Akbar

Sharif

Akram

et al. 2019

Microscopy Res & Technique

Self Cite

View full text Add to dashboard Cite

show abstract

“…Other restorative difficulties most often result in this sort of glaucoma (Giaconi et al, 2016 (Akbar, Akram, Sharif, Tariq, & Yasin, 2018;Amin, Sharif, Yasmin, Ali, & Fernandes, 2017;Amin et al, 2016;Station, 2007).…”

Section: Secondary Glaucomamentioning

confidence: 99%

“…The factors considered to detect glaucoma include neuro‐retinal rim notching, peripapillary atrophy, RNFL, neuroretinal rim thinning, the optic cup‐to‐disc ratio (CDR), disc haemorrhage and inter‐eye asymmetry defect. The persons suffering from hyperlipidemia, the chances of glaucoma and diabetic retinopathy are enhanced (Akbar, Akram, Sharif, Tariq, & Yasin, ; Amin, Sharif, Yasmin, Ali, & Fernandes, ; Amin et al, ; Station, ).…”

Section: Introductionmentioning

confidence: 99%

Fundus image classification methods for the detection of glaucoma: A review

Saba

Bokhari

Sharif

et al. 2018

Microscopy Res & Technique

Self Cite

View full text Add to dashboard Cite

Glaucoma is a neurodegenerative illness and is considered as a standout amongst the most widely recognized reasons for visual impairment. Nerve's degeneration is an irretrievable procedure, so the diagnosis of the illness at an early stage is an absolute requirement to stay away from lasting loss of vision. Glaucoma effected mainly because of increased intraocular pressure, if it is not distinguished and looked early, it can result in visual impairment. There are not generally evident side effects of glaucoma; thus, patients attempt to get treatment just when the seriousness of malady is advanced altogether. Determination of glaucoma often comprises of review of the basic crumbling of the nerve in conjunction with the examination of visual function capacity. This article shows the persistent illustration of glaucoma, its side effects, and the potential people inclined to this malady. The essence of this article is on different classification methods being utilized and proposed by various scientists for the identification of glaucoma. This article audits a few division and segmentation methodologies that are exceptionally useful for recognizable proof, identification, and diagnosis of glaucoma. The research related to the findings and the treatment is likewise evaluated in this article.

show abstract

“…новейшие сПособы для анализа артериовенозного соотношения, анализа области головки диска зрительного нерва При гиПертонической ангиоретиноПатии S. Akbar и соавт. изучали гипертоническую ретинопатию при высоком АД [4]. Была разработана автоматизированная система, которая позволяет сопоставлять частоту сердечных сокращений (ЧСС) и состояние глазного дна при гипертонии, а именно, артериовенозного соотношения и отека ДЗН с помощью изображения сетчатки [28][29][30].…”

Section: актуальность и распространенностьunclassified

Modern Aspects of Hypertensive Angioretinopathy

Lk¹,

Воробьева²,

Dgebuadze³

2019

Oftalʹmologiâ

View full text Add to dashboard Cite

This literature review is devoted to modern problems of hypertensive retinopathy with arterial hypertension, as well as hypertensive retinopathy in combination diseases. The latest world studies were analyzed. Particular attention is paid to the clinical disease characteristics at the present stage with the analysis of the arterio-venous ratio, optic nerve edema (with high blood pressure figures) using an automated system, vector analysis, suggesting a new arteriovenous classification, called Web Integration (Wivern). The modern pathogenesis of hypertensive retinopathy, namely the ratio of proangiogenic and anti-angiogenic factors, the role of inflammation (C-reactive protein), the role of endothelin-1, endostatin, interleukin-8 (IL-8), and the main fibroblast growth factor (bFGF ), angiogenin and uric acid. The special importance of fundus registration is reflected with the help of the newest equipment at high figures of arterial pressure in patients with hypertensive retinopathy. It is known that according to the World Health Organization (WHO), mortality rate from cardiovascular diseases is 31 %. Hypertension is the main risk factor for coronary heart disease, myocardial infarction, heart failure, stroke, kidney disease and early death. Questions of eye blood flow in hypertensive angioretinopathy in patients with arterial hypertension (AH) are covered. Hypertensive retinopathy (HR) is a retinal disease that is caused by a prolonged increase blood pressure (BP) and leads to a decrease in vision. The data of pathophysiology are analyzed (arterial hypertension (AH) leads to thickening of the vessels of the inner membrane (intima), to thickening of the medial membrane (media) — hyperplasia of the muscular tissue followed by hyaline degeneration with the development of sclerotic changes). The questions of modern diagnostics with retinal morphological status evaluation (OCT), detection of eye fundus condition with newest fundus camers, pathogenetic aspects are discussed. This review will help to prevent the development of more severe forms of hypertensive retinopathy. This information will allow us to identify the most significant indicators in the early diagnosis of hypertension angioretinopathy.

show abstract

Arteriovenous ratio and papilledema based hybrid decision support system for detection and grading of hypertensive retinopathy

Cited by 77 publications

References 38 publications

Automated techniques for blood vessels segmentation through fundus retinal images: A review

Automated techniques for blood vessels segmentation through fundus retinal images: A review

Fundus image classification methods for the detection of glaucoma: A review

Modern Aspects of Hypertensive Angioretinopathy

Contact Info

Product

Resources

About