MSA-YOLOv5: Multi-scale attention-based YOLOv5 for automatic detection of acute ischemic stroke from multi-modality MRI images.
Shannan ChenJinfeng DuanNan ZhangMiao QiJinze LiHong WangRongqiang WangRonghui JuYang DuanShouliang QiPublished in: Comput. Biol. Medicine (2023)
Keyphrases
- automatic detection
- multi modality
- mri images
- medical images
- ischemic stroke
- imaging modalities
- multiscale
- magnetic resonance imaging
- magnetic resonance images
- multi modal
- low contrast
- medical image analysis
- medical imaging
- mri brain images
- medical data
- health care
- anatomical structures
- image intensity
- deformable models
- magnetic resonance
- information theoretic
- mri data
- intraoperative
- brain images
- region of interest
- mr images
- edge detection
- image registration
- image processing
- information systems
- natural images
- clinical practice
- data warehouse
- management system
- clinical trials
- high resolution
- expert systems
- pattern recognition
- feature selection