Evaluation of 2D and 3D Deep Learning Approaches For Predicting Visual Acuity Following Surgery for Idiopathic Full-Thickness Macular Holes In Spectral Domain Optical Coherence Tomography Images

In this work, we compared the performance of 2D and 3D versions of four state-of-the-art deep learning neural networks on predicting visual acuity following surgery for idiopathic full-thickness macular holes using an image dataset of spectral-domain optical coherence tomography (OCT) scans. To make...

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Veröffentlicht in:	2023 International Symposium on Image and Signal Processing and Analysis (ISPA) S. 1 - 6
Hauptverfasser:	Kucukgoz, Burak, Yapici, M. Mutlu, Steel, David H, Obara, Boguslaw
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 18.09.2023
Schlagworte:	2D vs. 3D Image Analysis Correlation coefficient Deep learning Machine Learning Neural networks Optical coherence tomography Surgery Three-dimensional displays Visual Acuity Measurement Visualization
ISSN:	1849-2266
Online-Zugang:	Volltext
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