A Study of Age and Sex Bias in Multiple Instance Learning based Classification of Acute Myeloid Leukemia Subtypes.
Ario SadafiMatthias HehrNassir NavabCarsten MarrPublished in: CoRR (2023)
Keyphrases
- multiple instance learning
- image categorization
- supervised learning
- accurate classification
- multiple instance
- acute myeloid
- decision trees
- multi class
- support vector
- feature vectors
- image classification
- cancer diagnosis
- class labels
- model selection
- machine learning
- support vector machine
- classification accuracy
- feature selection
- computer vision
- unsupervised learning
- training samples
- real valued
- training set