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 B DomenicoMariano CozziJohn RogersGiovanni Staurenghi

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

Home OCT 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
diabetic retinopathy
high throughput
endothelial cells
healthcare
convolutional neural network
induced pluripotent stem cells
data analysis
pluripotent stem cells