QUANTITATIVE ASSESSMENT OF AUTOMATED OPTICAL COHERENCE TOMOGRAPHY IMAGE ANALYSIS USING A HOME-BASED DEVICE FOR SELF-MONITORING NEOVASCULAR AGE-RELATED MACULAR DEGENERATION.

Jonathan D OakleySteven VerdoonerDaniel B RussakoffAlexander J BruckerJohn SeamanJayashree SahniCarlo D BianchiMariano CozziJohn RogersGiovanni Staurenghi

Published in: Retina (Philadelphia, Pa.) (2022)

Home optical coherence tomography device images assessed using the automated analysis software showed excellent agreement to manual human grading.

Keyphrases

age related macular degeneration
optical coherence tomography
deep learning
machine learning
high throughput
diabetic retinopathy
endothelial cells
healthcare
convolutional neural network
optic nerve
induced pluripotent stem cells
pluripotent stem cells
single cell