Automatic screening of tear meniscus from lacrimal duct obstructions using anterior segment optical coherence tomography images by deep learning.

Hitoshi ImamuraHitoshi TabuchiDaisuke NagasatoHiroki MasumotoHiroaki BabaHiroki FurukawaSachiko Maruoka

Published in: Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie (2021)

The combination of DL and ASOCT images could distinguish between tear meniscus of LDO patients and normal subjects with a high level of accuracy. These results suggest that DL might be useful for automatic screening of patients for LDO.

Keyphrases

deep learning
end stage renal disease
optical coherence tomography
ejection fraction
newly diagnosed
chronic kidney disease
convolutional neural network
prognostic factors
artificial intelligence