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Gastric cancer diagnosis using hyperspectral imaging with principal component analysis and spectral angle mapper
2020
Journal of Biomedical Optics
Hyperspectral imaging (HSI) is an emerging optical technique that has a double function of spectroscopy and imaging. Near-infrared hyperspectral imaging (NIR-HSI) (900 to 1700 nm) with the help of chemometrics was investigated for gastric cancer diagnosis. Mean spectra and standard deviation of normal and cancerous pixels were extracted. Principal component analysis (PCA) was used to compress the dimension of hypercube data and select the optimal wavelengths. Moreover, spectral angle mapper
doi:10.1117/1.jbo.25.6.066005
pmid:32594664
pmcid:PMC7320226
fatcat:6oqcirjzyzea7o6isd4soxidyy