Deep active learning for classifying cancer pathology reports.
Kevin De AngeliShang GaoMohammed M. AlawadHong-Jun YoonNoah SchaefferkoetterXiao-Cheng WuEric B. DurbinJennifer A. DohertyAntoinette StroupLinda CoyleLynne PenberthyGeorgia D. TourassiPublished in: BMC Bioinform. (2021)
Keyphrases
- active learning
- breast cancer
- machine learning
- automatic classification
- selective sampling
- training examples
- learning strategies
- batch mode
- learning algorithm
- cancer patients
- semi supervised
- labeled data
- gene selection
- prostate cancer
- imbalanced data classification
- early detection
- cancer diagnosis
- data sets
- experimental design
- random sampling
- learning process
- cost sensitive
- unlabeled data
- supervised learning
- sample selection
- outcome prediction
- pool based active learning
- training set