7 Result(s)
-
Article
Open AccessAutomatic choroidal segmentation in OCT images using supervised deep learning methods
The analysis of the choroid in the eye is crucial for our understanding of a range of ocular diseases and physiological processes. Optical coherence tomography (OCT) imaging provides the ability to capture hig...
-
Article
Open AccessDeep learning segmentation of hyperautofluorescent fleck lesions in Stargardt disease
Stargardt disease is one of the most common forms of inherited retinal disease and leads to permanent vision loss. A diagnostic feature of the disease is retinal flecks, which appear hyperautofluorescent in fu...
-
Article
Open AccessAssociations between seven-year C-reactive protein trajectory or pack-years smoked with choroidal or retinal thicknesses in young adults
Inflammation and cigarette smoking predispose to macular diseases, and choroidal and retinal thinning. We explored the choroidal and retinal thicknesses in young adults against their 7-year C-reactive protein ...
-
Article
Open AccessTime spent outdoors in childhood is associated with reduced risk of myopia as an adult
Myopia (near-sightedness) is an important public health issue. Spending more time outdoors can prevent myopia but the long-term association between this exposure and myopia has not been well characterised. We ...
-
Article
Open AccessEvaluation of focus and deep learning methods for automated image grading and factors influencing image quality in adaptive optics ophthalmoscopy
Adaptive optics flood illumination ophthalmoscopy (AO-FIO) is an established imaging tool in the investigation of retinal diseases. However, the clinical interpretation of AO-FIO images can be challenging due ...
-
Article
Open AccessA comparison of deep learning U-Net architectures for posterior segment OCT retinal layer segmentation
Deep learning methods have enabled a fast, accurate and automated approach for retinal layer segmentation in posterior segment OCT images. Due to the success of semantic segmentation methods adopting the U-Net...
-
Article
Open AccessTowards standardising retinal OCT angiography image analysis with open-source toolbox OCTAVA
Quantitative assessment of retinal microvasculature in optical coherence tomography angiography (OCTA) images is important for studying, diagnosing, monitoring, and guiding the treatment of ocular and systemic...
