A machine learning approach on multiscale texture analysis for breast microcalcification diagnosis.
Annarita FanizziTeresa M. A. BasileLiliana LosurdoRoberto BellottiUbaldo BottigliRosalba DentamaroVittorio DidonnaAlfonso FaustoRaffaella MassafraMarco MoschettaOndina PopescuPasquale TamborraSabina TangaroDaniele La ForgiaPublished in: BMC Bioinform. (2020)
Keyphrases
- breast cancer diagnosis
- texture analysis
- multiscale
- texture discrimination
- breast cancer
- texture characterization
- wavelet decomposition
- multiresolution
- texture segmentation
- texture classification
- local binary pattern
- rotation invariant
- image analysis
- texture features
- gray level
- co occurrence
- cancer diagnosis
- wavelet transform
- gabor filters
- pattern spectrum
- mammographic images
- texture description
- image segmentation
- breast cancer detection
- scale space
- fractal dimension
- image analysis and computer vision
- feature extraction
- digital mammograms
- image processing
- texture images
- texture descriptors
- image representation
- filter bank
- wavelet domain
- gabor filtering
- image texture
- fractal analysis
- pattern recognition
- digital mammography
- low contrast
- breast tissue
- image features
- tissue classification
- computer aided diagnosis