SinGAN-Seg: Synthetic Training Data Generation for Medical Image Segmentation.
Vajira ThambawitaPegah SalehiSajad Amouei SheshkalSteven Alexander HicksHugo Lewi HammerSravanthi ParasaThomas de LangePål HalvorsenMichael A. RieglerPublished in: CoRR (2021)
Keyphrases
- medical image segmentation
- data generation
- medical images
- medical image analysis
- statistical shape model
- curve evolution
- training set
- training process
- active learning
- level set method
- image segmentation
- medical imaging
- streaming data
- data streams
- supervised learning
- ground truth
- anatomical structures
- concept drift
- high throughput
- deformable models
- sliding window