Predicting false negative errors in digital breast tomosynthesis among radiology trainees using a computer vision-based approach.
Mengyu WangJing ZhangLars J. GrimmSujata V. GhateRuth WalshKaren S. JohnsonJoseph Y. LoMaciej A. MazurowskiPublished in: Expert Syst. Appl. (2016)
Keyphrases
- false negative
- false positives
- computer vision
- false negative rate
- low rate
- false positive rate
- low false positive rate
- high rate
- object recognition
- communication systems
- detection rate
- computer graphics
- number of false positives
- pattern recognition
- object detection
- true positive
- image segmentation
- image understanding
- breast cancer detection
- structure from motion
- vision system
- image analysis
- computer aided diagnosis
- computer aided
- recognition rate
- computer aided detection
- signal processing
- medical images
- image features
- support vector machine
- image processing