MedAL: Accurate and Robust Deep Active Learning for Medical Image Analysis.
Asim SmailagicPedro CostaHae Young NohDevesh WalawalkarKartik KhandelwalAdrian GaldranMostafa MirshekariJonathon FagertSusu XuPei ZhangAurélio J. C. CampilhoPublished in: ICMLA (2018)
Keyphrases
- medical image analysis
- active learning
- medical images
- deformable models
- image registration
- anatomical structures
- image analysis
- medical image data
- computationally efficient
- highly accurate
- imaging modalities
- semi supervised
- high quality
- medical imaging
- magnetic resonance images
- medical image segmentation
- computer vision and pattern recognition
- shape modeling
- surface registration
- random sampling
- model fitting
- selective sampling
- accurate registration
- cerebral cortex
- data sets
- visual programming environment
- brain structures
- pairwise
- pattern recognition
- machine learning
- level set
- decision trees
- atlas construction
- learning algorithm