E-DU: Deep neural network for multimodal medical image segmentation based on semantic gap compensation.
Haojia WangXicheng ChenRui YuZeliang WeiTianhua YaoChengcheng GaoYang LiZhenyan WangDong YiYazhou WuPublished in: Comput. Biol. Medicine (2022)
Keyphrases
- medical image segmentation
- semantic gap
- neural network
- low level features
- medical images
- video retrieval
- low level
- image content
- visual features
- semantic concepts
- visual content
- semantic information
- multimedia databases
- curve evolution
- multi modal
- image annotation
- image segmentation
- medical image analysis
- statistical shape model
- level set method
- medical imaging
- image retrieval
- pattern recognition
- high level
- higher level
- image classification
- multimedia data
- multiscale
- multimedia content
- metadata
- feature selection
- retrieval systems
- computer vision
- active contours
- higher order
- search engine