Transformer-based Personalized Attention Mechanism (PersAM) for Medical Images with Clinical Records.
Yusuke TakagiNoriaki HashimotoHiroki MasudaHiroaki MiyoshiKoichi OhshimaHidekata HontaniIchiro TakeuchiPublished in: CoRR (2022)
Keyphrases
- medical images
- attention mechanism
- clinical practice
- medical data
- clinical applications
- medical records
- visual attention
- deformable models
- medical imaging
- medical databases
- anatomical structures
- medical image segmentation
- saliency map
- mr images
- imaging modalities
- ct images
- magnetic resonance images
- computed tomography
- clinical data
- medical image analysis
- computer aided diagnosis
- magnetic resonance
- patient data
- visual attention model
- medical diagnosis
- magnetic resonance imaging
- soft tissue
- x ray images
- segmentation of medical images
- medical image retrieval
- clinical setting
- brain images
- computer tomography
- biomedical images
- multimodal medical images
- heart disease
- clinical trials
- eye tracking
- human computer interaction
- multi modal