Fusing multispectral information for retinal layer segmentation
Abstract Extensive research on retinal layer segmentation (RLS) using deep learning (DL) is mostly approaching a performance plateau, primarily due to reliance on structural information alone. To address the present situation, we conduct the first study on the impact of multi-spectral information (M...
Saved in:
Main Authors: | Xiang He, Fuwang Wu, Kaixuan Hu, Lizhen Cui, Weiye Song, Yi Wan |
---|---|
Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2025-01-01
|
Series: | npj Digital Medicine |
Online Access: | https://doi.org/10.1038/s41746-025-01446-z |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Semantic Recognition and Location of Cracks by Fusing Cracks Segmentation and Deep Learning
by: Qing An, et al.
Published: (2021-01-01) -
Thickness Mapping of Eleven Retinal Layers Segmented Using the Diffusion Maps Method in Normal Eyes
by: Raheleh Kafieh, et al.
Published: (2015-01-01) -
Hierarchical Recognition for Urban Villages Fusing Multiview Feature Information
by: Zhenkang Wang, et al.
Published: (2025-01-01) -
Multimodal Multiobject Tracking by Fusing Deep Appearance Features and Motion Information
by: Liwei Zhang, et al.
Published: (2020-01-01) -
Multispectral Bioluminescence Tomography: Methodology and Simulation
by: Alexander X. Cong, et al.
Published: (2006-01-01)