DisenTextSeg: Disentangling Textual Information from Clinical Reports for Multi-Modal Medical Image Segmentation
Accurate segmentation of multi-modal magnetic resonance imaging (MRI) is central to clinical diagnosis, treatment planning, and prognostic evaluation of tumors. Existing methods predominantly rely on imaging data alone, neglecting the rich semantic information embedded in clinical reports. Although recent vision-langua...