MedFusion-TransNet: multi-modal fusion via transformer for enhanced medical image segmentation
IntroductionMedical image segmentation is essential for analyzing medical data, improving diagnostics, treatment planning, and research. However, current methods struggle with different imaging types, poor generalization, and rare structure detection.MethodsTo address these issues, we propose MedFus...
Saved in:
| Main Author: | Jianfei Sun |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2025-05-01
|
| Series: | Frontiers in Medicine |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fmed.2025.1557449/full |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Hierarchical in-out fusion for incomplete multimodal brain tumor segmentation
by: Fang Liu, et al.
Published: (2025-07-01) -
MFMamba: A Mamba-Based Multi-Modal Fusion Network for Semantic Segmentation of Remote Sensing Images
by: Yan Wang, et al.
Published: (2024-11-01) -
Weighted Feature Fusion Network Based on Large Kernel Convolution and Transformer for Multi-Modal Remote Sensing Image Segmentation
by: Jianxia Wang, et al.
Published: (2025-01-01) -
GSR-Fusion: A Deep Multimodal Fusion Architecture for Robust Sign Language Recognition Using RGB, Skeleton, and Graph-Based Modalities
by: Wuttichai Vijitkunsawat, et al.
Published: (2025-01-01) -
A Cross-Modal Attention-Driven Multi-Sensor Fusion Method for Semantic Segmentation of Point Clouds
by: Huisheng Shi, et al.
Published: (2025-04-01)