Jul 2026· Journal of imaging informatics in medicine· 0 citations· 23 references
Medicine
TL;DR
An Adaptive Directional Feature Fusion Network (ADF-Net) is proposed for retinal vessel segmentation in OCTA images that integrates convolution-based local feature extraction and Swin Transformer-based global context modeling and effectively preserves vascular continuity and structural integrity for retinal vascular analysis and disease assessment.
Accurate vascular segmentation plays a critical role in medical image analysis, supporting disease diagnosis, surgical navigation, and treatment planning. However, existing methods often struggle to preserve fine vascular structures and maintain topological continuity due to low contrast, complex backgrounds, and scale...
Huiyin Xu, Shu-Xiang Guo, Pengcheng Li et al.· 2026 IEEE International Conf...· 0 citations
This study establishes the first DL framework specifically designed for retinal vessel segmentation in true color UWF images and reveals disease-specific regional vascular patterns that would be missed by conventional fundus photography, highlighting the value of UWF imaging for comprehensive systemic disease assessmen...
Xinyue Wang, Xinyue Yang, Yu-Wei Wang et al.· IEEE journal of biomedical a...· 0 citations
This work proposes a novel two-stage segmentation framework that provides a favorable trade-off between segmentation accuracy and inference efficiency, supporting its potential for practical clinical deployment.
Chen Zhou, Wenjing Han, Yueming Wu et al.· Computerized Medical Imaging...· 0 citations
Accurate retinal layer segmentation in OCT is crucial for the early detection and monitoring of retinal and neurodegenerative diseases, yet it remains challenging due to the thin, low-contrast structures and closely packed layers in multi-class settings. We propose EdgeFormerNet++, a hybrid framework that integrates Re...
Anju Thomas, Farhin Janath S. J., V. P et al.· IEEE Latin America Transacti...· 0 citations
Although segmentation performance remains limited for complex pathological images, particularly in the HRF dataset, the proposed framework demonstrates consistent cross-dataset performance, transparent decision-making, and strong reproducibility, providing an effective alternative when interpretable, training-free reti...
Afrig Aminuddin, M. Miah, Ahmed Adil Nafea et al.· Journal of Computing Theorie...· 0 citations
