Deep learning-based detection of motion artifacts in probe-based confocal laser endomicroscopy images.
Marc AubrevilleMaike P. StoeveNicolai OetterMiguel GoncalvesChristian KnipferHelmut NeumannChristopher BohrFlorian StelzleAndreas K. MaierPublished in: Int. J. Comput. Assist. Radiol. Surg. (2019)
Keyphrases
- deep learning
- motion artifacts
- three dimensional
- image analysis
- image data
- ground truth
- input image
- test images
- image features
- segmentation method
- image registration
- object detection
- object recognition
- unsupervised learning
- multiple images
- machine learning
- natural images
- pattern recognition
- weakly supervised
- mental models
- segmentation algorithm
- high dimensional