Towards computational fluorescence microscopy: Machine learning-based integrated prediction of morphological and molecular tumor profiles.
Alexander BinderMichael BockmayrMiriam HägeleStephan WienertDaniel HeimKatharina HellwegAlbrecht StenzingerLaura ParlowJan BudcziesBenjamin GoeppertDenise TreueManato KotaniMasaru IshiiManfred DietelAndreas HockeCarsten DenkertKlaus-Robert MüllerFrederick KlauschenPublished in: CoRR (2018)
Keyphrases
- fluorescence microscopy
- machine learning
- prediction accuracy
- computational chemistry
- drug design
- image processing
- image sequences
- pattern recognition
- multiscale
- prediction model
- decision trees
- mathematical morphology
- breast cancer
- computer vision
- data mining
- explanation based learning
- statistical methods
- knowledge acquisition
- supervised learning
- information extraction
- natural language processing
- data analysis
- predictive modeling
- artificial intelligence
- tumor detection
- feature selection
- text classification
- machine learning methods
- support vector machine
- protein function prediction
- learning algorithm
- tumor segmentation