A Two-Stage Generative Model with CycleGAN and Joint Diffusion for MRI-based Brain Tumor Detection.
Wenxin WangZhuo-Xu CuiGuanxun ChengChentao CaoXi XuZiwei LiuHaifeng WangYulong QiDong LiangYanjie ZhuPublished in: IEEE J. Biomed. Health Informatics (2024)
Keyphrases
- generative model
- tumor detection
- brain white matter
- diffusion weighted
- magnetic resonance images
- brain tissue
- white matter
- diffusion tensor
- brain tumors
- probabilistic model
- diffusion mri
- magnetic resonance imaging
- human brain
- tissue segmentation
- brain atlas
- medical images
- capsule endoscopy
- mri data
- mr images
- fiber bundles
- bayesian framework
- brain images
- brain structures
- discriminative learning
- high angular resolution diffusion imaging
- em algorithm
- prior knowledge
- anisotropic diffusion
- tensor field
- semi supervised
- latent dirichlet allocation
- diffusion tensor images
- diffusion tensor imaging
- expectation maximization
- medical imaging
- topic models
- discriminative models
- machine learning
- generative and discriminative models
- magnetic resonance
- computer aided
- semi supervised learning
- pairwise