1 results match your criteria: "Taiwan 404gNational Chiao Tung University[Affiliation]"
Separating spectral mixtures in hyperspectral image data using independent component analysis: validation with oral cancer tissue sections.
J Biomed Opt
December 2013
China Medical University, Biomedical Engineering Research and Development Center, Taichung, Taiwan 404gNational Chiao Tung University, Department of Electrical Engineering, Hsinchu, Taiwan 300.
Article Synopsis
- Hyperspectral imaging (HSI) systems can identify multiple wavelengths and are being used to create spectral fingerprints for cancer-related molecules, potentially serving as biomarkers.
- The raw data from HSI can be muddled due to various optical interferences, which makes it hard to consistently extract useful spectral information.
- In a study involving 30 oral cancer patients, Independent Component Analysis (ICA) proved more effective than Principal Component Analysis (PCA) in isolating reliable spectral patterns from keratinized tissues, showing significantly better correlation results.