False-positive reduction in mammography using multiscale spatial Weber law descriptor and support vector machines.
Muhammad HussainPublished in: Neural Comput. Appl. (2014)
Keyphrases
- false positives
- multiscale
- support vector
- false negative
- detection rate
- large margin classifiers
- learning machines
- false positive rate
- true positive
- low false positive rate
- local binary pattern
- keypoints
- spatial information
- number of false positives
- breast cancer
- image processing
- spatio temporal
- wavelet transform
- classification accuracy
- computer aided diagnosis
- logistic regression
- image representation
- spatial data
- computer aided
- support vector machine
- object recognition
- image segmentation
- multiresolution
- generalization ability
- shape descriptors
- edge detection
- scale space
- kernel function
- information retrieval
- high detection rate
- image analysis
- loss function