4 papers
Timage: A Generative Text-in-Image Paradigm for Fine-Tuning Vision-Language Models
Yifeng Wu, Huimin Huang, Ruiluo Wu +5
Multimodal Large Language Models (MLLMs) often lose track of the right image regions during fine-grained spatial reasoning, because a textual query rarely carries any explicit geom…
Single Domain Generalization for Multimodal Cross-Cancer Prognosis via Dirac Rebalancer and Distribution Entanglement
Jia-Xuan Jiang, Jiashuai Liu, Hongtao Wu +4
Deep learning has shown remarkable performance in integrating multimodal data for survival prediction. However, existing multimodal methods mainly focus on single cancer types and…
BrainSegDMlF: A Dynamic Fusion-enhanced SAM for Brain Lesion Segmentation
Hongming Wang, Yifeng Wu, Huimin Huang +8
The segmentation of substantial brain lesions is a significant and challenging task in the field of medical image segmentation. Substantial brain lesions in brain imaging exhibit h…
MFM-DA: Instance-Aware Adaptor and Hierarchical Alignment for Efficient Domain Adaptation in Medical Foundation Models
Jia-Xuan Jiang, Wenhui Lei, Yifeng Wu +5
Medical Foundation Models (MFMs), trained on large-scale datasets, have demonstrated superior performance across various tasks. However, these models still struggle with domain gap…