Zobrazeno 1 - 10
of 2 243
pro vyhledávání: '"retinal images."'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-17 (2024)
Abstract Early detection and correct identification of the optic disc (OD) on scanned retinal images are significant for diagnosing and treating several ophthalmic conditions, including glaucoma and diabetic retinopathy. Conventional methods for dete
Externí odkaz:
https://doaj.org/article/1c0ffe40a3614498b3296c5e3c289945
Autor:
Samantha Min Er Yew, Yibing Chen, Jocelyn Hui Lin Goh, David Ziyou Chen, Marcus Chun Jin Tan, Ching-Yu Cheng, Victor Teck Chang Koh, Yih Chung Tham
Publikováno v:
Advances in Ophthalmology Practice and Research, Vol 4, Iss 3, Pp 164-172 (2024)
Background: Uncorrected refractive error is a major cause of vision impairment worldwide and its increasing prevalent necessitates effective screening and management strategies. Meanwhile, deep learning, a subset of Artificial Intelligence, has signi
Externí odkaz:
https://doaj.org/article/7b7cbe18ee1a4e04bb16c3c3940e8c9f
Publikováno v:
IEEE Access, Vol 12, Pp 6768-6776 (2024)
Diabetic retinopathy (DR) is an irreversible fundus retinopathy. A deep learning-based automated DR diagnosis system can save diagnostic time. While Transformer has shown superior performance compared to Convolutional Neural Network (CNN), it typical
Externí odkaz:
https://doaj.org/article/fc944e2a936042b49dc541367c48fb86
Publikováno v:
Mathematical Biosciences and Engineering, Vol 21, Iss 2, Pp 1938-1958 (2024)
Retinal vessel segmentation plays a vital role in the clinical diagnosis of ophthalmic diseases. Despite convolutional neural networks (CNNs) excelling in this task, challenges persist, such as restricted receptive fields and information loss from do
Externí odkaz:
https://doaj.org/article/7928eaf6e49f462b8e4cdacec4b7f07e
Publikováno v:
Informatics in Medicine Unlocked, Vol 49, Iss , Pp 101557- (2024)
Early detection of diabetic retinopathy (DR) is critical in preventing vision loss. However, building accurate Artificial intelligence (AI) models for multiple classes, including early-stage (Class-1) detection, is challenging due to limited and imba
Externí odkaz:
https://doaj.org/article/7c9c0540b3654671b4e374973a447f95
Autor:
Hamida Almeshrky, Abdulkadir Karacı
Publikováno v:
Applied Sciences, Vol 14, Iss 12, p 5103 (2024)
Glaucoma is a common eye disease that damages the optic nerve and leads to loss of vision. The disease shows few symptoms in the early stages, making its identification a complex task. To overcome the challenges associated with this task, this study
Externí odkaz:
https://doaj.org/article/dba30e99fa3f4795b72edb70ff9cb0c8
Publikováno v:
Biomedical Engineering Advances, Vol 6, Iss , Pp 100099- (2023)
Experts require large high-resolution retinal images to detect tiny abnormalities, such as microaneurysms or issues of vascular branches. However, these images often suffer from low quality (e.g., resolution) due to poor imaging device configuration
Externí odkaz:
https://doaj.org/article/44fc97384edd4ef4b4cc4f02e34f17bc
Autor:
Liming Shu, Kaiyi Zhong, Nanya Chen, Wenxin Gu, Wenjing Shang, Jiahui Liang, Jiangtao Ren, Hua Hong
Publikováno v:
Frontiers in Neurology, Vol 14 (2023)
Background and purposeAs one common feature of cerebral small vascular disease (cSVD), white matter lesions (WMLs) could lead to reduction in brain function. Using a convenient, cheap, and non-intrusive method to detect WMLs could substantially benef
Externí odkaz:
https://doaj.org/article/2a774de69676458fb4efde731333ed10
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