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Text-Guided Modality Fusion for Brain Tumor Segmentation

delete2026-04-14
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PRE
AI
栾晓 (Xiao Luan) *
X
Xiongfeng Huang
刘灵惠 cover
刘灵惠 (Linghui Liu)
W
Weisheng Li
X
Xinbo Gao
DOI:10.1016/j.patcog.2026.113748delete
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Abstract

Abstract

En 中文
• Multimodal Framework: Weakly supervised multimodal framework with staged training for optimal modal flow. • Text-Guided CAMs: Pioneers text-image consistency to refine CAMs for precise brain MR segmentation. • Feature Difference Loss: Feature difference loss enhances tumor-background separability in feature space.
Keywords:
Multimodal Framework
Text-Guided CAMs
Feature Difference Loss
Brain Tumor Segmentation

Journal

Pattern Recognition cover
Pattern Recognition
IF:
7.6
Papers:
1.3W
Citations:
4.5W

Organization

C
chongqing university of posts and telecommunications
Scholars:
429
Papers: 176
Citations: 0