Boosting the Rule-Out Accuracy of Deep Disease Detection Using Class Weight Modifiers.
Alexandros KarargyrisKen C. L. WongJoy T. WuMehdi MoradiTanveer F. Syeda-MahmoodPublished in: ISBI (2019)
Keyphrases
- detection accuracy
- detection rate
- detection algorithm
- object detection
- high accuracy
- outbreak detection
- classification accuracy
- automatic detection
- prediction accuracy
- machine learning
- false positives
- false positive rate
- computational cost
- class labels
- improving classification accuracy
- multiclass classification
- event detection
- computational complexity
- training data
- face detection
- cost sensitive
- false alarms
- anomaly detection
- association rules
- diabetic retinopathy
- weighted sums
- decision trees