Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Sinumol Sukumaran Thulaseedharan"'
Publikováno v:
Kerala Journal of Ophthalmology, Vol 35, Iss 1, Pp 24-31 (2023)
Background: Spectral-domain optical coherence tomography (OCT) can identify the presence of localized glaucomatous structural damage. The peripapillary retinal nerve fiber layer (RNFL) thickness is a popular OCT parameter used for glaucoma diagnosis
Externí odkaz:
https://doaj.org/article/7c7fb342a3f642f49b8e73fc9398c6ea
Publikováno v:
Kerala Journal of Ophthalmology, Vol 30, Iss 3, Pp 206-208 (2018)
An elderly patient with limbal growth in the left eye was diagnosed by impression cytology as ocular surface squamous neoplasia (OSSN) and subsequently treated with topical interferon α 2b (IFN-α 2b). Complete gross and histopathological resolution
Externí odkaz:
https://doaj.org/article/a649fcce1e28490d929b5a801e1ed102
Publikováno v:
Journal of Evidence Based Medicine and Healthcare, Vol 8, Iss 02, Pp 75-79 (2021)
BACKGROUND Down syndrome, first described in 1866, is the most common chromosomal derangement in live births. More than half of the patients with Down syndrome have ophthalmic manifestations. We wanted to evaluate the most common ocular abnormalities
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0862a0617f2cf0587f5d8177d22e702a
https://doi.org/10.18410/jebmh/2021/15
https://doi.org/10.18410/jebmh/2021/15
Publikováno v:
Computers in Biology and Medicine. 108:317-331
Automatic retinal image analysis has remained an important topic of research in the last ten years. Various algorithms and methods have been developed for analysing retinal images. The majority of these methods use public retinal image databases for
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::04c434869b2d816868892f7301c68702
https://doi.org/10.1016/j.compbiomed.2019.03.019
https://doi.org/10.1016/j.compbiomed.2019.03.019
Publikováno v:
IET Image Processing. 12:2100-2110
Feature extraction from retinal images is gaining popularity worldwide as many pathologies are proved having connections with these features. Automatic detection of these features makes it easier for the specialist ophthalmologists to analyse them wi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8324e09a85408b178483884858f39390
https://doi.org/10.1049/iet-ipr.2018.5666
https://doi.org/10.1049/iet-ipr.2018.5666