A Flexible Framework for Simulating and Evaluating Biases in Deep Learning-Based Medical Image Analysis.
Emma A. M. StanleyMatthias WilmsNils D. ForkertPublished in: MICCAI (2) (2023)
Keyphrases
- medical image analysis
- deep learning
- medical images
- deformable models
- medical imaging
- unsupervised learning
- unsupervised feature learning
- image analysis
- image registration
- machine learning
- anatomical structures
- magnetic resonance images
- visual programming environment
- weakly supervised
- deep architectures
- image segmentation
- high quality
- mental models
- supervised learning
- active learning
- image processing
- neural network