Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Ana Oros"'
Autor:
Gorana Gojić, Veljko B. Petrović, Dinu Dragan, Dušan B. Gajić, Dragiša Mišković, Vladislav Džinić, Zorka Grgić, Jelica Pantelić, Ana Oros
Publikováno v:
Sensors, Vol 22, Iss 23, p 9101 (2022)
Recent methods for automatic blood vessel segmentation from fundus images have been commonly implemented as convolutional neural networks. While these networks report high values for objective metrics, the clinical viability of recovered segmentation
Externí odkaz:
https://doaj.org/article/fa5d15a1594e47d792125fd164ffd4bc
Publikováno v:
Acta Medica Medianae, Vol 53, Iss 3, Pp 5-10 (2014)
Retinopathy of prematurity (ROP) remains the main cause of visual impairment in preterm infants. The study was aimed to assess the impact of some of the risk factors (gestational age, body weight of children at birth, associated diseases in children,
Externí odkaz:
https://doaj.org/article/57bb922c87f64666974db13c36cefbc9
Publikováno v:
Acta Medica Medianae, Vol 51, Iss 1, Pp 37-41 (2012)
Retinopathy of prematurity (ROP) is a leading cause of blindness in children and one of the most important reasons of blindness in the perinatal period. The aim of the paper was to present a nine-month-old baby boy with esotropia, microphtalmos and c
Externí odkaz:
https://doaj.org/article/0702680d59c74f71a0b09d7620e69e4a
Autor:
Gorana Gojić, Veljko Petrović, Radovan Turovic, Dinu Dragan, Dusan Gajic, Ana Oros, Nebojsa Horvat
Publikováno v:
SISY
Automatic blood vessel segmentation from retinal images plays an important role in the diagnosis of many systemic and eye diseases, including retinopathy of prematurity. Current state-of-the-art research in blood vessel segmentation from retinal imag
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d61537d0b9c73ee17f4ee4e11612d50f
Publikováno v:
IETI Transactions on Ergonomics and Safety, Vol 5, Iss 1 (2021)
Autor:
Dinu Dragan, Veljko Petrović, Gorana Gojić, Ana Oros, Nebojsa Horvat, Radovan Turovic, Dusan B. Gajic
Publikováno v:
INISTA
This paper analyzes the sensitivity of deep learning methods for ocular fundus segmentation. We use an empirical methodology based on non-adversarial perturbed datasets. The research is motivated by the perceived needs of mass screening and self-admi
Autor:
Aleksandra Ilic, Ana Oros, Gordana Zlatanović, Sonja Cekić, Svetlana Jovanovic, Anka Stanojevic-Paovic, Aleksandra Radosavljević
Publikováno v:
Medicinski casopis. 52:56-63
Autor:
Ana Oros, Vladislav Dzinic, Vladimir Čanadanović, Sofija Davidovic, Sandra Jovanović, Sava Barisic
Publikováno v:
Medical review. 70:353-358
Introduction. Diabetic retinopathy remains the leading cause of visual disability and blindness among professionally active adults in economically developed societies, which is of particular concern because the prevalence and incidence of diabetes me
Autor:
Branislav Tomasevic, Jasmina Djordjevic-Jocic, Predrag Jovanović, Gordana Stanković-Babić, Sonja Cekić, Ana Oros, Gordana Zlatanović, Milena Vujanović
Publikováno v:
Vojnosanitetski Pregled, Vol 74, Iss 4, Pp 323-328 (2017)
Background/Aim. Retinopathy of prematurity (ROP) is a vasoproliferative retinopathy which affects the blood vessels of the retina during its development. The aim of this study was to evaluate the incidence and the degree of refractive errors in prema
Autor:
Sandra Jovanović, Sofija Bolinovska, Jelena Karadzic, Vladimir Čanadanović, Ana Oros, Zorka Grgic
Publikováno v:
Vojnosanitetski pregled. 74:932-939
Background/Aim. Preterm birth and retinopathy of prematurity (ROP) could affect optical and biometric features of eyes and cause refractive errors. The aim of this study was to compare the ocular axial length, anterior chamber depth and lens thicknes