Lung nodule classification in frequency domain using support vector machines.
Hiram Madero OrozcoOsslan Osiris Vergara-VillegasLeticia Ortega MaynezVianey Guadalupe Cruz SánchezHumberto de Jesús Ochoa DomínguezPublished in: ISSPA (2012)
Keyphrases
- frequency domain
- lung nodules
- feature extraction
- spatial domain
- fourier transform
- ct images
- cross correlation
- subband
- power spectrum
- computerized tomography
- computer aided diagnosis
- classification accuracy
- denoising
- frequency analysis
- feature vectors
- pattern recognition
- feature selection
- x ray images
- fast fourier transform
- machine learning
- preprocessing
- support vector
- power spectral
- power spectra
- frequency domain analysis
- spectrum analysis
- fourier analysis
- lung cancer
- multiresolution
- gray level
- multiscale
- discrete fourier transform
- decision trees
- image analysis
- text classification
- single view