Breast Cancer Diagnosis in Digital Breast Tomosynthesis: Effects of Training Sample Size on Multi-Stage Transfer Learning Using Deep Neural Nets.
Ravi K. SamalaHeang-Ping ChanLubomir M. HadjiiskiMark A. HelvieCaleb D. RichterKenny H. ChaPublished in: IEEE Trans. Medical Imaging (2019)
Keyphrases
- breast cancer diagnosis
- multistage
- sample size
- neural nets
- transfer learning
- learning tasks
- breast cancer
- feed forward
- active learning
- labeled data
- model selection
- learning problems
- reinforcement learning
- upper bound
- semi supervised learning
- supervised learning
- dynamic programming
- machine learning
- back propagation
- machine learning algorithms
- neural network
- cancer diagnosis
- collaborative filtering
- text classification
- unlabeled data
- text categorization
- training examples
- optimal policy
- training set
- worst case
- learning algorithm
- expert systems
- information extraction
- learning experience
- image classification