Atıf İçin Kopyala
Kucukgoz B., Yapici M. M., Steel D. H., Obara B.
2023 International Symposium on Image and Signal Processing and Analysis (ISPA), Rome, İtalya, 18 - 19 Eylül 2023, ss.1-6
-
Yayın Türü:
Bildiri / Tam Metin Bildiri
-
Doi Numarası:
10.1109/ispa58351.2023.10279422
-
Basıldığı Şehir:
Rome
-
Basıldığı Ülke:
İtalya
-
Sayfa Sayıları:
ss.1-6
-
Ankara Üniversitesi Adresli:
Evet
Özet
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 this
study more comparable, using the same dataset revealed the differences
between 2D and 3D versions of deep learning neural networks. Based on
our results, 3D networks generally outperformed the 2D networks in
R-squared and Pearson correlation coefficient; however, they fell behind
in mean absolute error. 3D networks also come with the sacrifice of
significantly more computational complexity.