Every Annotation Counts: Multi-label Deep Supervision for Medical Image Segmentation.
Simon ReißConstantin SeiboldAlexander FreytagErik RodnerRainer StiefelhagenPublished in: CoRR (2021)
Keyphrases
- medical image segmentation
- multi label
- image annotation
- automatic image annotation
- medical images
- multi label classification
- text categorization
- active learning
- graph cuts
- image classification
- curve evolution
- medical image analysis
- random forest
- level set method
- image segmentation
- text classification
- medical imaging
- statistical shape model
- class labels
- shape prior
- image retrieval
- level set
- multiscale
- semi supervised
- image content
- markov random field
- energy function
- feature selection
- active contours
- semi supervised learning
- visual features
- higher order