Conference
Open access
Aug 2026
DisenTextSeg: Disentangling Textual Information from Clinical Reports for Multi-Modal Medical Image Segmentation
DisenTextSeg is a novel framework that explicitly disentangles shared and modality-specific features from per-modality clinical reports and integrates them into a diffusion-based segmentation network, outperforming competitive baselines and demonstrating consistent cross-domain performance.
Ding-Jie Suo, Han-Di Zhu, Tian-Tian Liu et al.
· Journal of Physics, Conferen... · 0 citations