A novel semi-supervised medical image segmentation method incorporating global geometry attention and information propagation (GGIP) that achieves the state-of-the-art (SOTA) performance on a series of datasets, including the NIH pancreas, left atrium, and brain tumor datasets.
Lianyuan Yu, Xiuzhen Guo, Ji Shi et al.· Journal of imaging informati...· 0 citations
The proposed dual-echo bSSFP/bDESS method provides a high-SNR and time-efficient strategy for sequence-specific T2-sensitive contrast characterization at ultra-low field.
Sheng Shen, Neha Koonjoo, Hester A. Braaksma et al.· IEEE transactions on bio-med...· 0 citations
A Dynamic, Automatic and Systematic red-teaming audit framework that continuously stress-tests LLMs for health across four safety-critical axes: robustness, privacy, bias and hallucination, which provides a scalable framework for surfacing latent risks before such systems are deployed in consumer-facing health assistan...
Jiazhen Pan, Bailiang Jian, Paul Hager et al.· Nature Health· 0 citations
Experiments on OmniMedVQA subsets show that Med-OPD consistently outperforms SFT and standard OPD across CT, MRI, Disease Diagnosis, and Lesion Grading, and demonstrate that evidence-aware distillation can better strengthen medical VLMs'reliance on key visual evidence and improve reliable multimodal medical reasoning.
Yun-Hang Qian, Jiaquan Yu, Jiawei Liu et al.· arXiv.org· 1 citation
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.
