Hybrid Multi-layered GMDH-type Neural Network Using Principal Component Regression Analysis and its Application to Medical Image Diagnosis of Liver Cancer.
Tadashi KondoJunji UenoShoichiro TakaoPublished in: KES (2013)
Keyphrases
- multi layered
- regression analysis
- medical images
- principal components
- medical diagnosis
- ct images
- neural learning
- neural network
- group method of data handling
- regression model
- medical imaging
- principal component analysis
- cancer diagnosis
- imaging modalities
- computed tomography
- medical image segmentation
- linear regression model
- factor analysis
- magnetic resonance
- explanatory variables
- early diagnosis
- computer aided diagnosis
- ct scans
- mr images
- polynomial neural networks
- ct data
- dimensionality reduction
- region of interest
- ovarian cancer
- medical data
- brain images
- computer tomography
- prediction model
- principal component regression
- correlation coefficient
- covariance matrix
- clinical practice
- fuzzy neural network
- medical image retrieval
- early detection
- lung cancer
- objective function
- data mining