A mass classification using spatial diversity approaches in mammography images for false positive reduction.
Geraldo Braz JuniorSimara Vieira da RochaMarcelo GattassAristófanes Corrêa SilvaAnselmo Cardoso de PaivaPublished in: Expert Syst. Appl. (2013)
Keyphrases
- false positives
- false negative
- detection rate
- image classification
- true positive
- false positive rate
- input image
- mammogram images
- spatial information
- image analysis
- image data
- image database
- mammographic images
- image features
- spatial correlation
- spatial frequency
- digital mammography
- image registration
- computer aided
- spatial relationships
- machine learning
- discriminative classifiers
- low false positive rate
- digital mammograms
- spatial data
- classification accuracy
- feature extraction
- image set
- support vector machine
- false detections
- feature vectors
- image retrieval
- support vector
- breast cancer
- hyperspectral images
- skin lesion
- breast cancer diagnosis
- decision trees
- learning algorithm
- data sets