An ensemble-based approach for breast mass classification in mammography images.
Patricia B. RibeiroJoão P. PapaRoseli A. F. RomeroPublished in: Medical Imaging: Computer-Aided Diagnosis (2017)
Keyphrases
- digital mammography
- digital mammograms
- mammogram images
- mammographic images
- breast cancer
- early detection of breast cancer
- image classification
- breast cancer diagnosis
- x ray
- breast tissue
- benign and malignant
- image data
- input image
- image database
- breast cancer detection
- multiple classifiers
- image analysis
- computer aided diagnosis
- pattern recognition
- three dimensional
- edge detection
- image features
- classification accuracy
- computer aided detection
- image retrieval
- training set
- object recognition
- neural network
- pigmented skin lesions
- decision trees
- final classification
- benchmark datasets
- segmentation algorithm
- low contrast
- ensemble learning
- image set
- segmentation method
- training samples
- medical images
- feature space
- support vector
- feature extraction
- breast ultrasound