3 papers
eess.IV2026
LesionDiffusion: Towards Text-controlled General Lesion Synthesis
Wenhui Lei, Henrui Tian, Linrui Dai +2
Fully-supervised lesion recognition methods in medical imaging face challenges due to the reliance on large annotated datasets, which are expensive and difficult to collect. To add…
eess.IV2026
CT Synthesis with Conditional Diffusion Models for Abdominal Lymph Node Segmentation
Yongrui Yu, Hanyu Chen, Zitian Zhang +8
Despite the significant success achieved by deep learning methods in medical image segmentation, researchers still struggle in the computer-aided diagnosis of abdominal lymph nodes…
eess.IV2025
GuideGen: A Text-Guided Framework for Paired Full-torso Anatomy and CT Volume Generation
Linrui Dai, Rongzhao Zhang, Yongrui Yu +1
The recently emerging conditional diffusion models seem promising for mitigating the labor and expenses in building large 3D medical imaging datasets. However, previous studies on…