A Supervised Breast Lesion Images Classification from Tomosynthesis Technique.
Vitoantonio BevilacquaDaniele AltiniMartino BruniMarco RiezzoAntonio BrunettiClaudio LoconsoleAndrea GuerrieroGianpaolo Francesco TrottaRocco FasanoMarica Di PirchioCristina TartagliaElena VentrellaMichele TelegrafoMarco MoschettaPublished in: ICIC (2) (2017)
Keyphrases
- pigmented skin lesions
- image classification
- breast tissue
- skin lesion
- image features
- image data
- image retrieval
- region of interest
- image analysis
- mammogram images
- mammographic images
- three dimensional
- input image
- supervised learning
- image database
- machine learning
- supervised classification
- feature extraction
- decision trees
- unsupervised learning
- breast cancer diagnosis
- distortion correction
- textural features
- feature selection
- breast cancer
- classification accuracy
- image registration
- object recognition
- support vector
- image set
- x ray images
- extracted features
- contrast enhancement
- class labels
- segmentation algorithm
- text classification
- skin cancer
- support vector machine
- benign and malignant
- breast cancer detection