A multi-label transformer-based deep learning approach to predict focal visual field progression.

Ling Chen Vincent S TsengTa-Hsin TsungDa-Wen Lu

Published in: Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie (2024)

The high prediction accuracy suggested that multi-label DL networks trained with longitudinal VF results may assist in identifying and forecasting progression in VF regions.

Keyphrases

deep learning
cross sectional
artificial intelligence
machine learning
convolutional neural network