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...

Celý popis

Podrobná bibliografia

Vydané v:	2023 International Symposium on Image and Signal Processing and Analysis (ISPA) s. 1 - 6
Hlavní autori:	Kucukgoz, Burak, Yapici, M. Mutlu, Steel, David H, Obara, Boguslaw
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 18.09.2023
Predmet:	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
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!