Zobrazeno 1 - 10
of 614
pro vyhledávání: '"Glaucoma screening"'
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
Autor:
Nitikarun P, Kongsap P
Publikováno v:
Clinical Ophthalmology, Vol Volume 18, Pp 1563-1573 (2024)
Porntip Nitikarun, Pipat Kongsap Prapokklao Hospital, Department of Ophthalmology, Chanthaburi, 22000, ThailandCorrespondence: Porntip Nitikarun, Prapokklao Hospital, Department of Ophthalmology, Amphur Muang Chanthaburi, Chanthaburi, 22000, Thailand
Externí odkaz:
https://doaj.org/article/f68613fae3994af4a468ee1afc53b5d2
Publikováno v:
Mathematical Biosciences and Engineering, Vol 21, Iss 4, Pp 5092-5117 (2024)
Glaucoma is a chronic neurodegenerative disease that can result in irreversible vision loss if not treated in its early stages. The cup-to-disc ratio is a key criterion for glaucoma screening and diagnosis, and it is determined by dividing the area o
Externí odkaz:
https://doaj.org/article/75b3cc3b1704404e8a460b72e0d90a80
Publikováno v:
Biomimetics, Vol 9, Iss 10, p 637 (2024)
Glaucoma represents a significant global contributor to blindness. Accurately segmenting the optic disc (OD) and optic cup (OC) to obtain precise CDR is essential for effective screening. However, existing convolutional neural network (CNN)-based seg
Externí odkaz:
https://doaj.org/article/5fac7a095a1941359d5906f21455fd66
Autor:
José Camara, Antonio Cunha
Publikováno v:
Medicina, Vol 60, Iss 3, p 428 (2024)
Glaucoma is one of the leading causes of irreversible blindness in the world. Early diagnosis and treatment increase the chances of preserving vision. However, despite advances in techniques for the functional and structural assessment of the retina,
Externí odkaz:
https://doaj.org/article/78099966d380484e9d285e7114fcaedf
Publikováno v:
Ophthalmology Science, Vol 3, Iss 3, Pp 100300- (2023)
Purpose: Significant visual impairment due to glaucoma is largely caused by the disease being detected too late. Objective: To build a labeled data set for training artificial intelligence (AI) algorithms for glaucoma screening by fundus photography,
Externí odkaz:
https://doaj.org/article/82d26916e8b447359777092e617ddfba
Autor:
Kuo-Hsuan Hung, Yu-Ching Kao, Yu-Hsuan Tang, Yi-Ting Chen, Chuen-Heng Wang, Yu-Chen Wang, Oscar Kuang-Sheng Lee
Publikováno v:
BMC Ophthalmology, Vol 22, Iss 1, Pp 1-12 (2022)
Abstract Background To verify efficacy of automatic screening and classification of glaucoma with deep learning system. Methods A cross-sectional, retrospective study in a tertiary referral hospital. Patients with healthy optic disc, high-tension, or
Externí odkaz:
https://doaj.org/article/c7ce4bc65a0b404ebe5d671662811dfa
Publikováno v:
BMC Bioinformatics, Vol 23, Iss 1, Pp 1-21 (2022)
Abstract Background Glaucoma can cause irreversible blindness to people’s eyesight. Since there are no symptoms in its early stage, it is particularly important to accurately segment the optic disc (OD) and optic cup (OC) from fundus medical images
Externí odkaz:
https://doaj.org/article/5f0217093582497294802a90e1aec2e8
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.