ProtoAL: Interpretable Deep Active Learning with prototypes for medical imaging.
Iury Batista de Andrade SantosAndré C. P. L. F. de CarvalhoPublished in: CoRR (2024)
Keyphrases
- medical imaging
- active learning
- medical images
- x ray
- training set
- image registration
- medical image processing
- anatomical structures
- computed tomography
- magnetic resonance images
- magnetic resonance imaging
- clinical practice
- ct images
- image guided
- image processing
- image segmentation
- machine learning
- imaging modalities
- image analysis
- medical image analysis
- shape analysis
- image processing and analysis
- remote sensing
- computer vision
- medical image segmentation
- surface registration
- biomedical engineering
- experimental design
- computer aided diagnosis
- brain structures
- digital libraries
- pattern recognition
- image guided surgery
- learning algorithm
- high resolution
- learning process
- feature selection
- volumetric data
- brain mr images
- mri scans