A transformer-based deep-learning approach for classifying brain metastases into primary organ sites using clinical whole-brain MRI images.
Qing LyuSanjeev V. NamjoshiEmory McTyreUmit TopalogluRichard BarcusMichael D. ChanChristina K. CramerWaldemar DebinskiMetin N. GurcanGlenn J. LesserHui-Kuan LinReginald F. MundenBoris C. PascheKiran Kumar Solingapuram SaiRoy E. StrowdStephen B. TatterKounosuke WatabeWei ZhangGe WangChristopher T. WhitlowPublished in: Patterns (2022)
Keyphrases
- deep learning
- mri images
- brain tumors
- medical images
- mri brain images
- magnetic resonance images
- mr images
- brain images
- brain tissue
- magnetic resonance
- unsupervised learning
- medical image analysis
- clinical data
- machine learning
- medical data
- anatomical structures
- magnetic resonance imaging
- mri data
- imaging modalities
- weakly supervised
- mental models
- medical imaging
- clinical trials
- deformable models
- three dimensional
- computer assisted
- model selection
- active learning
- image analysis