Deep Learning Under the Microscope: Improving the Interpretability of Medical Imaging Neural Networks.
Magdalini PaschaliMuhammad Ferjad NaeemWalter SimsonKatja SteigerMartin MollenhauerNassir NavabPublished in: CoRR (2019)
Keyphrases
- medical imaging
- deep learning
- neural network
- medical images
- x ray
- image segmentation
- unsupervised learning
- medical image processing
- image analysis
- image registration
- image processing and analysis
- anatomical structures
- medical image analysis
- ct images
- imaging modalities
- morphological image analysis
- image processing
- pattern recognition
- remote sensing
- unsupervised feature learning
- volumetric data
- machine learning
- deep architectures
- computer vision
- magnetic resonance imaging
- image guided surgery
- artificial neural networks
- weakly supervised
- mental models
- intraoperative
- high quality
- d objects
- higher order