A Study of Age and Sex Bias in Multiple Instance Learning Based Classification of Acute Myeloid Leukemia Subtypes.
Ario SadafiMatthias HehrNassir NavabCarsten MarrPublished in: CLIP/FAIMI/EPIMI@MICCAI (2023)
Keyphrases
- multiple instance learning
- supervised learning
- image categorization
- accurate classification
- acute myeloid
- multiple instance
- machine learning
- feature extraction
- multi class
- support vector
- model selection
- instance selection
- feature selection
- object recognition
- classification accuracy
- support vector machine
- image classification
- training samples
- decision trees
- cancer diagnosis
- data sets