Cited by RetVes segmentation: A pseudo-labeling and feature knowledge distillation optimization technique for retinal vessel channel enhancement

Partial class activation mapping guided graph convolution cascaded U-Net for retinal vessel segmentation DOI

Zeyu Wang, Liuying Jia, Haocheng Liang

et al.

Computers in Biology and Medicine, Journal Year: 2024, Volume and Issue: 178, P. 108736 - 108736

Published: June 9, 2024

Language: Английский

Citations

Optimal U-Net Using Grey Wolf Algorithm for Retinal Vessel Segmentation DOI

Mohammed Khouy,

Younes Jabrane,

Mustapha Ameur

et al.

Published: May 16, 2024

In the realm of medical imaging, retinal vessels segmentation (RVS) has a significant role for diseases diagnosis, such as diabetic retinopathy, high blood pressure, arteriosclerosis, etc. recent years, deep convolutional neural networks (DNNs) approaches have shown their effectiveness RVS tasks, especially u-shaped (encoder-decoder) based models. However, manual design these models is not trivial, and designing optimal architecture time-consuming, requires expert knowledge. Neural Architecture Search (NAS) widely used method automatically de-signing network architectures within predefined search space. this paper, we propose implementation strategy three Metaheuristic optimization algorithms, Genetic Algorithm (GA), Grey Wolf Optimization (GWO) Particle Swarm (PSO), to U-shaped (Encoder-Decoder) its hyperparameters Retinal vessel (RVS). The proposed approach evaluated on DRIVE dataset. experimental results reveal that our GWO algorithm performs better than GA PSO which converge more solutions with fewer iterations.

Language: Английский

Citations

VESCL: an open source 2D vessel contouring library DOI

Sarah Frisken, Nazim Haouchine,

David‐Dimitris Chlorogiannis

et al.

International Journal of Computer Assisted Radiology and Surgery, Journal Year: 2024, Volume and Issue: 19(8), P. 1627 - 1636

Published: June 16, 2024

Language: Английский

Citations

Segmentation of retinal arteries and veins using deep learning with limited training data DOI

Ahmed Tamer Salah, Ghada Khoriba, Essam A. Rashed

et al.

Published: April 20, 2024

Language: Английский

Citations

RetVes segmentation: A pseudo-labeling and feature knowledge distillation optimization technique for retinal vessel channel enhancement DOI

Favour Ekong, Yongbin Yu, Rutherford Agbeshi Patamia

et al.

Computers in Biology and Medicine, Journal Year: 2024, Volume and Issue: 182, P. 109150 - 109150

Published: Sept. 19, 2024

Language: Английский

Citations