A unified methodology based on sparse field level sets and boosting algorithms for false positives reduction in lung nodules detection.
Soudeh SaienHamid Abrishami MoghaddamMohsen FathianPublished in: Int. J. Comput. Assist. Radiol. Surg. (2018)
Keyphrases
- false positives
- level set
- false negative
- boosting algorithms
- lung nodules
- detection rate
- false positive rate
- active contours
- image segmentation
- ct images
- loss function
- energy function
- shape prior
- detection algorithm
- machine learning methods
- base classifiers
- computed tomography
- multi class
- model selection
- ensemble methods
- generalization error
- computer aided diagnosis
- image analysis
- multiscale
- learning algorithm