SpeckleNN: A unified embedding for real-time speckle pattern classification in X-ray single-particle imaging with limited labeled examples.
Cong WangEric FlorinHsing-Yin ChangJana ThayerChun Hong YoonPublished in: CoRR (2023)
Keyphrases
- x ray
- pattern classification
- medical imaging
- labeled examples
- x ray images
- discriminant embedding
- semi supervised
- optical imaging
- digital x ray images
- cone beam
- pattern recognition
- feature extraction
- intraoperative
- breast cancer detection
- semi supervised learning
- active learning
- three dimensional
- training examples
- co training
- unlabeled data
- filtered back projection
- decision boundary
- labeled data
- projection images
- poor contrast
- ultrasound images
- training set
- multiple instance learning
- small animal
- text classification
- computer vision
- training data
- noise reduction
- image analysis
- medical images