Intracerebral Hemorrhage Detection in Computed Tomography Scans Through Cost-Sensitive Machine Learning.
Rushank GoyalPublished in: Appl. Artif. Intell. (2022)
Keyphrases
- cost sensitive
- machine learning
- cost sensitive learning
- computed tomography scans
- active learning
- multi class
- misclassification costs
- support vector machine
- binary classification
- class distribution
- cost sensitive classification
- naive bayes
- machine learning methods
- class imbalance
- learning problems
- computer vision
- text classification
- feature selection
- data mining
- pattern recognition
- ct images
- medical images
- text mining
- supervised learning
- semi supervised
- pairwise