Deep Learning for Medical Image Segmentation: Tricks, Challenges and Future Directions.
Dong ZhangYi LinHao ChenZhuotao TianXin YangJinhui TangKwang-Ting ChengPublished in: CoRR (2022)
Keyphrases
- future directions
- deep learning
- medical image segmentation
- lessons learned
- current challenges
- medical images
- curve evolution
- unsupervised learning
- machine learning
- statistical shape model
- medical image analysis
- advanced technologies
- image segmentation
- level set method
- medical imaging
- case study
- weakly supervised
- mental models
- deformable models
- partial differential equations
- graph cuts
- supervised learning
- d objects
- feature vectors
- pairwise
- pattern recognition
- feature extraction
- clustering algorithm