Morphological and molecular breast cancer profiling through explainable machine learning.
Alexander BinderMichael BockmayrMiriam HägeleStephan WienertDaniel HeimKatharina HellwegMasaru IshiiAlbrecht StenzingerAndreas HockeCarsten DenkertKlaus-Robert MüllerFrederick KlauschenPublished in: Nat. Mach. Intell. (2021)
Keyphrases
- breast cancer
- machine learning
- early detection
- survival analysis
- diagnosis of breast cancer
- logistic regression
- roc analysis
- breast cancer diagnosis
- computer aided diagnosis
- computer aided detection
- multiscale
- benign and malignant
- mammogram images
- three dimensional
- decision trees
- image processing
- breast cancer detection
- mathematical morphology
- text classification
- data mining
- knowledge discovery
- semi supervised learning
- knowledge acquisition
- cad systems
- text mining
- data analysis
- learning algorithm
- bladder cancer
- structuring elements
- cancer patients
- image analysis
- cancer datasets
- breast cancer patients
- support vector