Deep Random Forests for Small Sample Size Prediction with Medical Imaging Data.
Alexander KatzmannAlexander MuehlbergMichael SühlingDominik NörenbergJulian Walter HolchHorst-Michael GrossPublished in: ISBI (2020)
Keyphrases
- medical imaging
- random forests
- data sets
- medical images
- high dimensional data
- volumetric data
- training data
- decision trees
- small sample size
- neural network
- computer vision
- image analysis
- conformal prediction
- random forest
- logistic regression
- x ray
- support vector machine
- knowledge discovery
- prior knowledge
- image segmentation
- learning algorithm
- data mining