Fx-Net and PureNet: Convolutional Neural Network architecture for discrimination of Chronic Obstructive Pulmonary Disease from smokers and healthy subjects through electronic nose signals.
Cries AvianMuhammad Izzuddin MahaliNur Achmad Sulistyo PutroSetya Widyawan PrakosaJenq-Shiou LeuPublished in: Comput. Biol. Medicine (2022)
Keyphrases
- healthy subjects
- electronic nose
- chronic obstructive pulmonary disease
- eeg signals
- sensor array
- brain computer interface
- extracted features
- quality evaluation
- signal processing
- machine vision
- ct images
- cancer diagnosis
- neural network
- brain activity
- high quality
- decision trees
- medical images
- diffusion tensor imaging
- image processing
- functional magnetic resonance imaging
- data mining
- computer vision
- feature selection
- brain regions
- image segmentation
- multiscale
- image data