Fouzia Nawaz¹, Muhammad Ramzan¹, Khalid Mehmood¹, Hikmat Ullah Khan², Saleem Hayat Khan^3,4, Muhammad Raheel Bhutta^5,*

CMC-Computers, Materials & Continua, Vol.66, No.2, pp. 1631-1645, 2021, DOI:10.32604/cmc.2020.012887 - 26 November 2020

Abstract Diabetic retinopathy (DR) is a retinal disease that causes irreversible blindness. DR occurs due to the high blood sugar level of the patient, and it is clumsy to be detected at an early stage as no early symptoms appear at the initial level. To prevent blindness, early detection and regular treatment are needed. Automated detection based on machine intelligence may assist the ophthalmologist in examining the patients’ condition more accurately and efficiently. The purpose of this study is to produce an automated screening system for recognition and grading of diabetic retinopathy using machine learning through More >

V. Sudha^1,*, T. R. Ganeshbabu²

CMC-Computers, Materials & Continua, Vol.66, No.1, pp. 827-842, 2021, DOI:10.32604/cmc.2020.012008 - 30 October 2020

Abstract Diabetic Retinopathy (DR) is a type of disease in eyes as a result of a diabetic condition that ends up damaging the retina, leading to blindness or loss of vision. Morphological and physiological retinal variations involving slowdown of blood flow in the retina, elevation of leukocyte cohesion, basement membrane dystrophy, and decline of pericyte cells, develop. As DR in its initial stage has no symptoms, early detection and automated diagnosis can prevent further visual damage. In this research, using a Deep Neural Network (DNN), segmentation methods are proposed to detect the retinal defects such as… More >

Arnon Blum¹, Dorina Socea², Rotem Shelly Ben-Shushan³, Lital Keinan-Boker³, Modi Naftali², Gila Segol², Snait Tamir⁴

European Cytokine Network, Vol.23, No.4, pp. 158-162, 2012, DOI:10.1684/ecn.2012.0321

Abstract Diabetic retinopathy is the most severe ocular complication of diabetes mellitus (DM), is associated with micro-vascular damage. The more advanced stage, proliferative diabetic retinopathy, has been linked to an increased risk of cardiovascular morbidity and mortality. Our hypothesis was that inflammatory and angiogenic markers will detect the different stages of type 2 diabetes, and may predict development of micro-vascular damage. Methods. Seventy three type II diabetic patients were randomly assigned to three groups (A - 25 patients {12 males], no diabetic retinopathy; B - 25 patients {19 males], non-proliferative retinopathy; and C - 23 patients… More >

Ahmed M. Abu El-Asrar¹, Sofie Struyf², Dustan Kangave³, Karel Geboes⁴, Jo Van Damme²

European Cytokine Network, Vol.17, No.3, pp. 155-165, 2006, DOI:10.1684/ecn.2006.0033

Abstract Purpose. To determine levels of the chemokines CCL1/I-309, CCL2/MCP-1, CCL3/MIP-1α, CCL4/MIP-1β, CCL7/MCP-3, CCL8/MCP-2, CXCL5/ENA-78, CXCL6/GCP-2, CXCL10/IP-10, and CXCL11/I-TAC in the vitreous humor and serum, from patients with proliferative diabetic retinopathy (PDR), proliferative vitreoretinopathy (PVR), and rhegmatogenous retinal detachment with no PVR (RD), and to investigate the expression of MCP-1, CXCL12/SDF-1, and the chemokine receptor CXCR3 in epiretinal membranes. Methods. Paired vitreous humor and serum samples were obtained from patients undergoing vitrectomy for the treatment of RD (57 specimens), PVR (32 specimens), and PDR (88 specimens). The levels of chemokines were measured by enzyme-linked immunosorbent assays.… More >