Zobrazeno 1 - 10
of 2 765
pro vyhledávání: '"fundus image"'
Autor:
Hui Mengyu, Shi Jinglin, Yu Xiaohan, Li Jian, Zhang Yan, Tang Zhengli, Yu Shanghai, Gao Yue, Liu Ping, Zhang Hua
Publikováno v:
Guoji Yanke Zazhi, Vol 24, Iss 10, Pp 1542-1550 (2024)
AIM:To explore the fundus vascular characteristics of healthy individuals based on deep learning techniques, with a view to discovering the range of normal values of the fundus arteries and veins, as well as the relationship between physiological fac
Externí odkaz:
https://doaj.org/article/6d206c3ed4e34605803a90f811c652f4
Autor:
Songyang An, David Squirrell
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-12 (2024)
Abstract Recent advancements in artificial intelligence (AI) have prompted researchers to expand into the field of oculomics; the association between the retina and systemic health. Unlike conventional AI models trained on well-recognized retinal fea
Externí odkaz:
https://doaj.org/article/efa3f44dae414ae092a7f566a18e8d39
Publikováno v:
BMC Medical Imaging, Vol 24, Iss 1, Pp 1-17 (2024)
Abstract Diabetic Retinopathy (DR) and Diabetic Macular Edema (DME) are vision related complications prominently found in diabetic patients. The early identification of DR/DME grades facilitates the devising of an appropriate treatment plan, which ul
Externí odkaz:
https://doaj.org/article/344e61c2d39a426e9bf693f48d165789
Autor:
Naigong Chen, Xiujuan Lv
Publikováno v:
BMC Ophthalmology, Vol 24, Iss 1, Pp 1-13 (2024)
Abstract Background Glaucoma is a worldwide eye disease that can cause irreversible vision loss. Early detection of glaucoma is important to reduce vision loss, and retinal fundus image examination is one of the most commonly used solutions for glauc
Externí odkaz:
https://doaj.org/article/ef9911e364dc479a864d87210ed17251
Publikováno v:
Frontiers in Medicine, Vol 11 (2024)
BackgroundPathologic myopia (PM) associated with myopic maculopathy (MM) is a significant cause of visual impairment, especially in East Asia, where its prevalence has surged. Early detection and accurate classification of myopia-related fundus lesio
Externí odkaz:
https://doaj.org/article/4bc55e533a6a49d39a73195ad2dd38bb
Publikováno v:
Franklin Open, Vol 8, Iss , Pp 100143- (2024)
Segmentation of retinal blood vessels from fundus images is vital to assist ophthalmologists in diagnosing different eye diseases like Arteriosclerosis, Glaucoma, Diabetic Retinopathy, Hypertension, and Choroidal Neovascularization. Accurate detectio
Externí odkaz:
https://doaj.org/article/3669d4b9c2b8405c864781c6414a4c1a
Autor:
Ibnu Uzail Yamani, Basari Basari
Publikováno v:
Jurnal Teknik Elektro, Vol 15, Iss 2, Pp 68-73 (2024)
This study addresses the critical challenge of Diabetic Retinopathy (DR) detection and severity grading, aiming to advance the field of medical image analysis. The research problem focuses on the need for an accurate and efficient model to discern DR
Externí odkaz:
https://doaj.org/article/31e1164d63004272befcf78ce10ec5d0
Autor:
Nur Asyiqin Amir Hamzah, Wan Mimi Diyana Wan Zaki, Wan Haslina Wan Abdul Halim, Ruslinda Mustafar, Assyareefah Hudaibah Saad
Publikováno v:
PeerJ, Vol 12, p e17786 (2024)
Background Chronic kidney disease (CKD) is a significant global health concern, emphasizing the necessity of early detection to facilitate prompt clinical intervention. Leveraging the unique ability of the retina to offer insights into systemic vascu
Externí odkaz:
https://doaj.org/article/dbf728b0d75541c68021101c59400711
Autor:
V. V. Starovoitov, Nguyen Nhu Son, Yu. I. Golub, M. M. Lukashevich, Nguyen Long Giang, Hoang Thi Minh Chau, Le Hoang Son
Publikováno v:
IEEE Access, Vol 12, Pp 77092-77103 (2024)
One of the first steps in the retinal image preprocessing is cropping the Field of View (FOV) area and scaling it into a template of a predefined size. Fundus cameras of different producers record digital images of the retina of various sizes, and th
Externí odkaz:
https://doaj.org/article/41aed2d2c16a497bb7b28df2e06f746f
Autor:
Syed Samiul Alam, Samiul Based Shuvo, Shams Nafisa Ali, Fardeen Ahmed, Arbil Chakma, Yeong Min Jang
Publikováno v:
IEEE Access, Vol 12, Pp 22759-22777 (2024)
Diagnosis of Ocular toxoplasmosis (OT) usually involves clinical examination and imaging, which can be expensive and require specialized personnel. The use of artificial intelligence (AI) to analyze fundus images for diagnosing ocular diseases is gai
Externí odkaz:
https://doaj.org/article/5f98b658a3dd43fd9bb243a3083352fe