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Automatic anterior chamber angle measurement for ultrasound biomicroscopy using deep learning

Journal of Glaucoma Feb 06, 2020

Li W, Chen Q, Jiang Z, et al. - Using ultrasound biomicroscopy, researchers sought to create a software package for automated measuring of the trabecular-iris angle (TIA). Ultrasound biomicroscopy images were obtained, and specialists assessed the TIA manually. Different models have been utilized as the convolutional neural network for the automatic TIA measurement. Findings revealed that the average difference between the angles measured manually and by the model is −0.46 ± 3.97 degrees for all eyes, −1.67 ± 5.19 degrees for open angles, and 0.75 ± 1.43 degrees for narrow angles. Preliminary outcomes exhibit that this fully automated anterior chamber angle measurement method can obtain high precision and have good consistency with the results of the manual measurement which has great significance for future clinical practice.
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