CLINICAL: Targeted Active Learning for Imbalanced Medical Image Classification.
Suraj KothawadeAtharv SavarkarVenkat IyerGanesh RamakrishnanRishabh K. IyerPublished in: MILLanD@MICCAI (2022)
Keyphrases
- image classification
- active learning
- medical domain
- medical diagnostic
- medical treatment
- class imbalance
- medical experts
- diagnostic imaging
- patient records
- medical data
- medical records
- clinical decision support
- medical knowledge
- disease diagnosis
- imbalanced data classification
- medical students
- clinical data
- medical databases
- bag of words
- rule interestingness measures
- medical education
- cancer treatment
- therapy planning
- primary care
- image features
- medical staff
- medical doctors
- medical center
- clinical decision making
- medical information
- learning algorithm
- medical diagnosis
- diagnostic process
- image representation
- medical decision making
- feature extraction
- clinical practice
- evidence based medicine
- imbalanced datasets
- imbalanced class distribution
- cost sensitive learning
- electronic patient record
- intensive care
- random sampling
- diabetic patients
- rare class
- learning process
- traditional chinese medicine
- clinical guidelines
- heart disease
- medical practice
- imbalanced data
- training set
- health information systems
- ischemic stroke
- clinical decision support systems
- patient care
- national health
- machine learning
- training examples
- health care
- cost sensitive
- free text
- experimental design
- patient data
- medical imaging
- sampling methods
- feature selection
- chronic disease