Composition Counts: A Machine Learning View on Immunothrombosis using Quantitative Phase Imaging.
David Elias FresacherStefan RöhrlChristian KlenkJohanna ErberHedwig IrlDominik HeimManuel LenglSimon SchumannMartin KnoppMartin SchlegelSebastian RaschOliver HaydenKlaus DiepoldPublished in: MLHC (2023)
Keyphrases
- machine learning
- phase contrast images
- high resolution
- computer vision
- image processing
- machine learning algorithms
- medical imaging
- computational intelligence
- information extraction
- artificial intelligence
- data mining
- imaging systems
- inductive learning
- support vector machine
- image analysis
- feature selection
- learning algorithm
- knowledge discovery
- music composition
- decision trees
- learning problems
- machine learning methods
- pattern recognition
- knowledge acquisition
- text mining
- natural language processing
- semi supervised learning
- model selection
- reinforcement learning
- computer science
- qualitative and quantitative
- quantitative and qualitative
- clinical applications
- positron emission tomography
- acquired images
- supervised learning
- semi supervised