Training Universal Deep-Learning Networks for Electromagnetic Medical Imaging Using a Large Database of Randomized Objects.
Fei XueLei GuoAlina BialkowskiAmin M. AbboshPublished in: Sensors (2024)
Keyphrases
- medical imaging
- deep learning
- medical images
- deep architectures
- x ray
- image analysis
- image registration
- image processing and analysis
- restricted boltzmann machine
- medical image processing
- image processing
- image segmentation
- remote sensing
- unsupervised feature learning
- object model
- volumetric data
- computer vision
- machine learning
- unsupervised learning
- supervised learning
- image guided surgery
- object segmentation
- online learning
- pairwise
- training set