State-of-the-Art of Deep Learning in Multidisciplinary Optical Coherence Tomography Applications

D Kalupahana, NS Kahatapitiya… - IEEE …, 2024 - ieeexplore.ieee.org
Optical Coherence Tomography (OCT) emerged as a technology for the detection of retinal
disease. Owing to its excellent performance and ability to provide in-vivo high-resolution …

[HTML][HTML] Comparative Analysis of Deep Learning Architectures for Macular Hole Segmentation in OCT Images: A Performance Evaluation of U-Net Variants

H Herath, SLP Yasakethu, N Madusanka, M Yi… - Journal of …, 2025 - mdpi.com
This study presents a comprehensive comparison of U-Net variants with different backbone
architectures for Macular Hole (MH) segmentation in optical coherence tomography (OCT) …

Retinopathy Identification in OCT Images with A Semi-supervised Learning Approach via Complementary Expert Pooling and Expert-wise Batch Normalization

AM Nakib, Y Li, Y Luo - 2024 9th Optoelectronics Global …, 2024 - ieeexplore.ieee.org
In the medical field, the automatic detection of retinopathy using deep learning is an
important application. However, traditional deep learning techniques face two significant …