Zobrazeno 1 - 10
of 957
pro vyhledávání: '"Retinal fundus"'
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:
Ayesha Jabbar, Shahid Naseem, Jianqiang Li, Tariq Mahmood, Muhammad Kashif Jabbar, Amjad Rehman, Tanzila Saba
Publikováno v:
International Journal of Computational Intelligence Systems, Vol 17, Iss 1, Pp 1-20 (2024)
Abstract Diabetic retinopathy (DR) significantly burdens ophthalmic healthcare due to its wide prevalence and high diagnostic costs. Especially in remote areas with limited medical access, undetected DR cases are on the rise. Our study introduces an
Externí odkaz:
https://doaj.org/article/f629968f13a34a5498ae5cd542dc4cc2
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
Publikováno v:
Heliyon, Vol 10, Iss 18, Pp e36996- (2024)
Early diagnosis and continuous monitoring of patients with eye diseases are critical in computer-aided detection (CAD) techniques. Semantic segmentation, a key component in computer vision, enables pixel-level classification and provides detailed inf
Externí odkaz:
https://doaj.org/article/19a6ac6172fd4f44bf53f3dc1d231a00
Publikováno v:
PeerJ Computer Science, Vol 10, p e2186 (2024)
Globally, glaucoma is a leading cause of visual impairment and vision loss, emphasizing the critical need for early diagnosis and intervention. This research explores the application of deep learning for automated glaucoma diagnosis using retinal fun
Externí odkaz:
https://doaj.org/article/9ee2da4249134371a181159b8d8f0ea1
Publikováno v:
IEEE Access, Vol 12, Pp 113565-113579 (2024)
Diabetic Retinopathy (DR) is one of the biggest reasons for vision loss. It is a fatal eye disease damaging the retina, which is the light-sensitive tissue in the rear of the eye. Ophthalmologists use fundus images to capture retinal inner structures
Externí odkaz:
https://doaj.org/article/dbfd2f514a164a58a9292ac85543c18f
Autor:
Ibrahim AlMohimeed, Mohamed Yacin Sikkandar, A. Mohanarathinam, Velmurugan Subbiah Parvathy, Mohamad Khairi Ishak, Faten Khalid Karim, Samih M. Mostafa
Publikováno v:
IEEE Access, Vol 12, Pp 28612-28620 (2024)
Retinal blood vessel examination is commonly utilized for retinal disease diagnosis by ophthalmologists. The automated retinal vessel segmentation process becomes an essential tool to identify disease. Several retinal vessel segmentation models suffe
Externí odkaz:
https://doaj.org/article/35a11413944d419795799aea0b2be21e
Autor:
Arwa Albelaihi, Dina M. Ibrahim
Publikováno v:
IEEE Access, Vol 12, Pp 10769-10789 (2024)
Deep Learning (DL) plays a successful and influential role in medical imaging diagnosis, image detection, and image classification. Diabetes is a significant public health concern, and diabetic eye disease will be the leading cause of vision loss acr
Externí odkaz:
https://doaj.org/article/fd5cd0333a484db389761c9f90fa9c09
Publikováno v:
Journal of ICT, Vol 23, Iss 2 (2024)
Diabetic retinopathy (DR) features are typically identified through ophthalmologist eye examinations, but these images often face challenges like low contrast, non-uniform illumination, and colour inconsistency, affecting the diagnosis accuracy. Ther
Externí odkaz:
https://doaj.org/article/dc0ac0cf29fe4d03aca7e873b96d898c