Lingting Zhu, Noel Codella, Dongdong Chen, Zhenchao Jin, Lu Yuan...
TL;DRGEM-3D 是一种基于条件扩散模型的新型生成方法,通过将 3D 医学图像分解为掩模和患者信息,从现有数据集中生成不同变化的高质量 3D 医学图像,实现了数据集的增强。
Abstract
The limited availability of 3d medical image datasets, due to privacy
concerns and high collection or annotation costs, poses significant challenges
in the field of medical imaging. While a promising alternative