Development of an Interactive Semantic Medical Image Segmentation System
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- Type
- article
- Published
- 2020-10-13
- Cited by
- 4
- References
- 10
- OpenAlex
- https://openalex.org/W3115152109
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:229375394
Keywords
Segmentation, Computer science, Artificial intelligence, Image segmentation, Scale-space segmentation
References
- Fully convolutional networks for semantic segmentation
- Graph Cuts and Efficient N-D Image Segmentation
- Deep Residual Learning for Image Recognition
- Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support
- Deep Extreme Cut: From Extreme Points to Object Segmentation
- UNet++: A Nested U-Net Architecture for Medical Image Segmentation
- A Novel Focal Tversky Loss Function With Improved Attention U-Net for Lesion Segmentation
- U-Net: Convolutional Networks for Biomedical Image Segmentation
- UNet 3+: A Full-Scale Connected UNet for Medical Image Segmentation
- Interactive Deep Refinement Network for Medical Image Segmentation
Cited by
- A Boundary-Enhanced Liver Segmentation Network for Multi-Phase CT Images with Unsupervised Domain Adaptation
- A Click-Based Interactive Segmentation Network for Point Clouds
- Deep Interactive Segmentation of Medical Images: A Systematic Review and Taxonomy
- Time-Encoded Iterative Interactive Segmentation for Point Cloud
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