Integrating with Segmentation by Using Multi-Task Learning Improves Classification Performance in Medical Image Analysis.
Yi LiYuanyuan ZhaoMingyu WangFei LiJia ChenYanji LuoShi-Ting FengXiaoyi LinBingsheng HuangPublished in: CBMS (2022)
Keyphrases
- medical image analysis
- multi task learning
- medical images
- medical imaging
- medical image data
- image analysis
- multi task
- anatomical structures
- deformable models
- image registration
- learning tasks
- pattern recognition
- machine learning
- feature space
- gaussian processes
- support vector machine
- image classification
- segmentation algorithm
- magnetic resonance images
- support vector
- supervised learning
- x ray
- image segmentation
- feature selection
- learning problems
- level set
- decision trees
- high order
- classification accuracy
- feature vectors
- classification models
- energy function
- prior knowledge
- computer vision