Zobrazeno 1 - 10
of 2 622
pro vyhledávání: '"Fundus İmages"'
Publikováno v:
International Journal of Intelligent Computing and Cybernetics, 2024, Vol. 17, Issue 4, pp. 783-804.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/IJICC-04-2024-0189
Publikováno v:
Biomedical Technology, Vol 8, Iss , Pp 50-64 (2024)
Diabetic Retinopathy (DR) is a leading cause of vision loss among diabetic patients, necessitating effective screening and grading for timely intervention. Regular screening significantly increases the workload of ophthalmologists, and accurate gradi
Externí odkaz:
https://doaj.org/article/50ddbca7786a4479a8af04459095d00c
Publikováno v:
工程科学学报, Vol 46, Iss 10, Pp 1889-1898 (2024)
Retinal vascular segmentation holds significant value in medical research, playing an indispensable role in facilitating the screening of various diseases, such as diabetes, hypertension, and glaucoma. However, most current retinal vessel segmentatio
Externí odkaz:
https://doaj.org/article/9b6960f180cf452eb0f63d288bd1982f
Autor:
Walaa N. Ismail, Hessah A. Alsalamah
Publikováno v:
Discover Artificial Intelligence, Vol 4, Iss 1, Pp 1-27 (2024)
Abstract Cataracts are common eye disorders characterized by the clouding of the lens, preventing light from passing through and impairing vision. Various factors, including changes in the lens’s hydration or alterations in its proteins, may contri
Externí odkaz:
https://doaj.org/article/fac1b2fc7561407986d11cc740f9318c
Publikováno v:
Systems Science & Control Engineering, Vol 12, Iss 1 (2024)
Diabetic retinopathy (DR) is a major cause of blindness among adults worldwide. Detecting and classifying DR early is essential for timely treatment and prevention of vision loss. This study introduces a new approach to identify and classify DR by us
Externí odkaz:
https://doaj.org/article/5531dd2a482c4609bb4e8ee4b5e3a1e6
Publikováno v:
Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization, Vol 12, Iss 1 (2024)
Computer-aided diagnosis of ocular disorders like glaucoma can be effectively performed with retinal fundus images. Since the advent of machine learning and later deep learning techniques in medical image analysis, research focusing on automated and
Externí odkaz:
https://doaj.org/article/bd023a676f654179aa82c5577643781c
Autor:
Badar Almarri, Baskaran Naveen Kumar, Haradi Aditya Pai, Surbhi Bhatia Khan, Fatima Asiri, Thyluru Ramakrishna Mahesh
Publikováno v:
Frontiers in Medicine, Vol 11 (2024)
Retinal vessel segmentation is a critical task in fundus image analysis, providing essential insights for diagnosing various retinal diseases. In recent years, deep learning (DL) techniques, particularly Generative Adversarial Networks (GANs), have g
Externí odkaz:
https://doaj.org/article/952dc45004824587bef859fee7d2dc6d
Akademický článek
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Publikováno v:
Baghdad Science Journal, Vol 21, Iss 9 (2024)
A cataract is an eye disease that causes visual distortion and the late stage of this disease can lead to blindness. It is considered a silent disease that can occur without the appearance of symptoms. Therefore, the most effective way to detect cata
Externí odkaz:
https://doaj.org/article/23ec79a3c17a43bba4ad84ec5b892c1a
Publikováno v:
PeerJ Computer Science, Vol 10, p e2135 (2024)
Background Early diagnosis and treatment of diabetic eye disease (DED) improve prognosis and lessen the possibility of permanent vision loss. Screening of retinal fundus images is a significant process widely employed for diagnosing patients with DED
Externí odkaz:
https://doaj.org/article/d36d28871f054b32aeac849360f885cb