G-UNeXt: a lightweight MLP-based network for reducing semantic gap in medical image segmentation.
Xin ZhangXiaotian CaoJun WangLei WanPublished in: Multim. Syst. (2023)
Keyphrases
- lightweight
- medical image segmentation
- semantic gap
- wireless sensor networks
- low level features
- medical images
- video retrieval
- low level
- image content
- visual features
- semantic information
- image annotation
- visual content
- level set method
- neural network
- semantic concepts
- medical image analysis
- curve evolution
- image segmentation
- x ray
- input image
- medical imaging
- image retrieval
- training data
- high level
- statistical shape model
- image processing