Artificial Neural Networks and Principal Components Analysis for Detection of Idiopathic Pulmonary Fibrosis in Microscopy Images.
Spiros V. GeorgakopoulosSotiris K. TasoulisVassilis P. PlagianakosIlias MaglogiannisPublished in: EANN (1) (2013)
Keyphrases
- principal components analysis
- microscopy images
- artificial neural networks
- linear discriminant analysis
- multivariate statistical analysis
- support vector machine
- feature extraction
- principal components
- microscopic images
- neural network
- multi channel
- covariance matrix
- automatic segmentation
- phase contrast
- confocal images