Changing clinical patterns of Rhegmatogeneous Retinal Detachments during the COVID19 pandemic lockdown in the North West of the UK.

Introduction: The UK Government imposed a COVID19 lockdown (LD) restricting all but essential activities from 24th March 2020. Subsequently, there has been a significant reduction in casualty attendances nationwide including for ophthalmic emergencies. We aim to study the presentation of rhegmatogenous retinal detachments (RRD) and significant vitreous haemorrhage caused by posterior vitreous detachment (PVD-VH) in three tertiary centres covering most of the North West of England in the 6 weeks before and during the lockdown.

A Curriculum Domain Adaptation Approach to the Semantic Segmentation of Urban Scenes.

During the last half decade, convolutional neural networks (CNNs) have triumphed over semantic segmentation, which is one of the core tasks in many applications such as autonomous driving and augmented reality. However, to train CNNs requires a considerable amount of data, which is difficult to collect and laborious to annotate. Recent advances in computer graphics make it possible to train CNNs on photo-realistic synthetic imagery with computer-generated annotations.

Population movement can sustain STI prevalence in remote Australian indigenous communities.

Background: For almost two decades, chlamydia and gonorrhoea diagnosis rates in remote Indigenous communities have been up to 30 times higher than for non-Indigenous Australians. The high levels of population movement known to occur between remote communities may contribute to these high rates.

Methods: We developed an individual-based computer simulation model to study the relationship between population movement and the persistence of gonorrhoea and chlamydia transmission within hypothetical remote communities.