Towards Multi-modality Fusion and Prototype-based Feature Refinement for Clinically Significant Prostate Cancer Classification in Transrectal Ultrasound.
Hong WuJuan FuHongsheng YeYuming ZhongXuebin ZouJianhua ZhouYi WangPublished in: CoRR (2024)
Keyphrases
- multi modality
- prostate segmentation
- cancer classification
- multi modal
- transrectal ultrasound
- medical images
- image registration
- prostate cancer
- information theoretic
- mutual information
- deformable models
- patient specific
- gene selection
- prostate biopsy
- prostate brachytherapy
- random forest
- microarray
- magnetic resonance
- soft tissue
- mr images
- microarray data
- imaging modalities
- gene expression data
- medical image analysis
- image features
- registration accuracy
- pairwise
- automated segmentation
- needle insertion
- feature set
- deformation field
- anatomical structures
- target registration error
- feature vectors
- face recognition