Multi-task learning for segmentation and classification of tumors in 3D automated breast ultrasound images.
Yue ZhouHoujin ChenYanfeng LiQin LiuXuanang XuShu WangPew-Thian YapDinggang ShenPublished in: Medical Image Anal. (2021)
Keyphrases
- multi task learning
- multi task
- classification accuracy
- image segmentation
- breast cancer diagnosis
- learning tasks
- machine learning
- feature extraction
- brain tumors
- gaussian processes
- segmentation algorithm
- breast ultrasound images
- classification models
- region growing
- text classification
- supervised learning
- level set
- decision trees
- ultrasound image segmentation
- support vector
- feature space
- feature vectors
- learning problems
- medical imaging
- theoretical analysis
- kernel methods
- computer aided
- medical images
- transfer learning
- prior knowledge
- segmentation method
- class labels
- reinforcement learning
- model selection
- maximum likelihood