2 papers
cs.CV2024
XNet v2: Fewer Limitations, Better Results and Greater Universality
Yanfeng Zhou, Lingrui Li, Zichen Wang +3
XNet introduces a wavelet-based X-shaped unified architecture for fully- and semi-supervised biomedical segmentation. So far, however, XNet still faces the limitations, including p…
eess.IV2024
Blaze3DM: Marry Triplane Representation with Diffusion for 3D Medical Inverse Problem Solving
Jia He, Bonan Li, Ge Yang +1
Solving 3D medical inverse problems such as image restoration and reconstruction is crucial in modern medical field. However, the curse of dimensionality in 3D medical data leads m…