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Bimodal spectroscopic evaluation of ultra violet-irradiated mouse skin inflammatory and precancerous stages: instrumentation, spectral feature extraction/selection and classification (k-NN, LDA and SVM)

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Academic year: 2021

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Fig. 1. Scheme of the bimodal spectroscopy device developed. Short arc lamp (300W Xenon), F1: anticaloric filter, L1: convex lens, F2: bandpass filter, FL1 and FL2: high-pass and low-pass linearly variable filters, Fexc: exciting optical fibre, M1, M2 and
Fig. 2. Crop bandwidth, mean and filtered AF-410 nm emission. a) mean spectra (red), filtered spectra (black); b) crop bandwidth.
Table 2. Number of characteristics finally selected after statis- statis-tical tests using each of the CEFS combinations of  spatially-resolved bimodal spectroscopy (each distance D1, D2, D3 and their 4 possible combinations) for spectral features that all
Table 3. Number of Principal Components (PCs) and nearest neighbors (K) used to evaluate k-Nearest Neighbors classification performance using each of the CEFS combinations of spatially-resolved bimodal spectroscopy (each distance D1, D2, D3 and their 4 pos
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