MSM-TDE: multi-scale semantics mining and tiny details enhancement network for retinal vessel segmentation
Abstract Retinal image segmentation is crucial for the early diagnosis of some diseases like diabetes and hypertension. Current methods face many challenges, such as inadequate multi-scale semantics and insufficient global information. In view of this, we propose a network called multi-scale semanti...
Saved in:
| Main Authors: | Hongbin Zhang, Jin Zhang, Xuan Zhong, Ya Feng, Guangli Li, Xiong Li, Jingqin Lv, Donghong Ji |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Springer
2025-01-01
|
| Series: | Complex & Intelligent Systems |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/s40747-024-01714-7 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
DAF-UNet: Deformable U-Net with Atrous-Convolution Feature Pyramid for Retinal Vessel Segmentation
by: Yongchao Duan, et al.
Published: (2025-04-01) -
Retinal vessels caliber assessment in patients with arterial hypertension
by: N. S. Semenova, et al.
Published: (2014-07-01) -
Computational assessment of blood lipid influence on hemodynamics in human retinal vessels
by: Yu Ding, et al.
Published: (2025-05-01) -
Navigating the Challenges and Opportunities of Tiny Deep Learning and Tiny Machine Learning in Lung Cancer Identification
by: Yasir Salam Abdulghafoor, et al.
Published: (2025-04-01) -
VDMNet: A Deep Learning Framework with Vessel Dynamic Convolution and Multi-Scale Fusion for Retinal Vessel Segmentation
by: Guiwen Xu, et al.
Published: (2024-11-01)