Unsupervised Anomaly Segmentation for Brain Lesions Using Dual Semantic-Manifold Reconstruction.
Zhiyuan DingQi DongHaote XuChenxin LiXinghao DingYue HuangPublished in: ICONIP (3) (2022)
Keyphrases
- pet images
- caudate nucleus
- brain mri
- multiple sclerosis
- fully unsupervised
- positron emission tomography
- brain tumors
- multiple sclerosis lesions
- image analysis
- segmentation algorithm
- image segmentation
- semi supervised
- brain mapping
- computer aided detection
- level set
- brain mr images
- brain structures
- segmentation method
- medical images
- magnetic resonance images
- brain images
- grey matter
- tissue segmentation
- smooth manifold
- multiscale
- low dimensional
- manifold learning
- unsupervised learning
- mr images
- anomaly detection
- diffusion mri
- high dimensional
- high resolution
- lesion segmentation
- probabilistic atlas
- human brain
- energy function
- brain tissue
- fully automatic
- region growing
- magnetic resonance
- skin lesion
- computer aided diagnosis