Prostate Cancer Biomarker Selection through a Novel Combination of Sequential Global Thresholding, Particle Swarm Optimization, and PNN Classification of MS-Spectra.
Panagiotis BougioukosDionisis A. CavourasAntonis DaskalakisSpiros KostopoulosGeorge NikiforidisAnastasios BezerianosPublished in: ICTAI (1) (2007)
Keyphrases
- prostate cancer
- magnetic resonance spectroscopy
- particle swarm optimization
- global thresholding
- probabilistic neural network
- proteomic data
- computer aided
- neural network
- machine learning
- mr images
- feature vectors
- pattern recognition
- pattern classification
- image guided
- support vector machine
- differential evolution
- energy function
- spectral data