Fair evaluation of federated learning algorithms for automated breast density classification: The results of the 2022 ACR-NCI-NVIDIA federated learning challenge.
Kendall SchmidtBenjamin BearceKen ChangLaura CoombsKeyvan FarahaniMarawan ElbatelKaouther MouhebeRobert MartiRuipeng ZhangYa ZhangYanfeng WangYaojun HuHaochao YingYuyang XuConrad TestagroseMutlu DemirerVikash GuptaÜnal AkünalMarkus BujotzekKlaus H. Maier-HeinYi QinXiaomeng LiJayashree Kalpathy-CramerHolger R. RothPublished in: Medical Image Anal. (2024)
Keyphrases
- learning algorithm
- supervised learning
- learning process
- learning problems
- machine learning algorithms
- reinforcement learning
- machine learning
- learning scheme
- active learning
- learning models
- image classification
- automated classification
- learning tasks
- neural network
- text classification
- learning paradigms
- incremental learning
- support vector machine svm
- unsupervised learning
- digital libraries
- training data
- training samples
- general purpose
- multi class
- learning phase
- kernel machines
- decision tree learning
- feature extraction
- breast cancer diagnosis
- deep architectures
- mammogram images
- decision tree learning algorithm