Deep learning-based classification and segmentation of retinal cavitations on optical coherence tomography images of macular telangiectasia type 2.

Jessica LooCindy X CaiJohn ChoongEmily Y ChewMartin FriedlanderGlenn J JaffeSina Farsiu

Published in: The British journal of ophthalmology (2020)

The proposed method will be useful to help clinicians quantify retinal cavitations, assess changes over time and further investigate the clinical significance of these early structural changes observed in MacTel2.

Keyphrases

optical coherence tomography
deep learning
diabetic retinopathy
convolutional neural network
artificial intelligence
machine learning
optic nerve
palliative care
cataract surgery