MedAL: Deep Active Learning Sampling Method for Medical Image Analysis.
Asim SmailagicHae Young NohPedro CostaDevesh WalawalkarKartik KhandelwalMostafa MirshekariJonathon FagertAdrian GaldranSusu XuPublished in: CoRR (2018)
Keyphrases
- medical image analysis
- active learning
- medical images
- deformable models
- image registration
- medical imaging
- image analysis
- imaging modalities
- anatomical structures
- medical image segmentation
- medical image data
- computer vision and pattern recognition
- visual programming environment
- machine learning
- random sampling
- selective sampling
- shape modeling
- learning strategies
- magnetic resonance images
- surface registration
- computer vision
- learning process
- labeled data
- brain mr images
- learning algorithm
- relevance feedback
- digital image analysis
- brain structures
- clinical applications
- prostate cancer
- training set
- semi supervised
- supervised learning
- brain tumors
- image segmentation
- training data
- remote sensing
- active learning strategies
- neural network