Towards 'automated gonioscopy': a deep learning algorithm for 360° angle assessment by swept-source optical coherence tomography.
Natalia PorporatoTin A TunMani BaskaranDamon W K WongRahat HusainHuazhu FuRehena SultanaShamira PereraLeopold SchmettererTin AungPublished in: The British journal of ophthalmology (2021)
The DLA exhibited good diagnostic performance for detection of gonioscopic angle closure on 360° SS-OCT scans in a glaucoma clinic setting. Such an algorithm, independent of the identification of the scleral spur, may be the foundation for a non-contact, fast and reproducible 'automated gonioscopy' in future.
Keyphrases
- deep learning
- optical coherence tomography
- optic nerve
- machine learning
- artificial intelligence
- diabetic retinopathy
- high resolution
- convolutional neural network
- computed tomography
- primary care
- current status
- loop mediated isothermal amplification
- label free
- magnetic resonance imaging
- contrast enhanced
- mass spectrometry
- bioinformatics analysis
- clinical evaluation