Assessing abnormal corneal endothelial cells from in vivo confocal microscopy images using a fully automated deep learning system.

Jinghao QuXiaoran QinRongmei PengGege XiaoShaofeng GuHaikun WangJing Hong

Published in: Eye and vision (London, England) (2023)

This is the first report to count and analyze the morphology of abnormal CECs in LASER IVCM images using deep learning. Deep learning produces highly objective evaluation indicators for LASER IVCM corneal endothelium images and greatly expands the range of applications for LASER IVCM.

Keyphrases

high speed
deep learning
convolutional neural network
artificial intelligence
endothelial cells
high resolution
machine learning
optical coherence tomography
wound healing
peripheral blood
mass spectrometry
cataract surgery