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