Unmixing multi-spectral electrical impedance tomography (EIT) predicts clinical-standard controlled attenuation parameter (CAP) for nonalcoholic fatty liver disease classification: a feasibility study.
Adrien TouboulFedi ZouariLuca MinciulloDipyaman ModakRaymond M. V. LeeEddie C. WongMan-Fung YuenWai-Kay SetoLung-Yi MakRussell W. ChanPublished in: EMBC (2022)
Keyphrases
- multispectral
- remote sensing
- machine learning
- multi spectral images
- disease diagnosis
- hyperspectral data
- image data
- remote sensing images
- statistical analysis
- satellite images
- feature selection
- hyperspectral images
- hyperspectral
- image reconstruction
- cross validation
- classification accuracy
- pattern recognition
- change detection
- domain specific
- support vector machine
- transmission line
- hyperspectral imagery
- feature vectors
- decision trees
- medical treatment
- liver disease