Optical Coherence Tomography in the UK Biobank Study - Rapid Automated Analysis of Retinal Thickness for Large Population-Based Studies.
Pearse Andrew KeaneCarlota M GrossiPaul J FosterQi YangCharles A ReismanKinpui ChanTunde PetoDhanes ThomasPraveen J Patelnull nullPublished in: PloS one (2016)
We report an approach to the rapid, automated measurement of retinal thickness from nearly 140,000 OCT image sets from the UK Biobank. In the near future, these measurements will be publically available for utilization by researchers around the world, and thus for correlation with the wealth of other data collected in UK Biobank. The automated analysis approaches we describe may be of utility for future large population-based epidemiological studies, clinical trials, and screening programs that employ OCT imaging.
Keyphrases
- optical coherence tomography
- deep learning
- diabetic retinopathy
- machine learning
- high throughput
- clinical trial
- optic nerve
- cross sectional
- current status
- high resolution
- case control
- public health
- artificial intelligence
- loop mediated isothermal amplification
- big data
- electronic health record
- randomized controlled trial
- fluorescence imaging
- quantum dots
- study protocol
- phase iii