Implementation of data fusion to increase the efficiency of classification of precancerous skin states using in vivo bimodal spectroscopic technique.

Autor: Kupriyanov V; Université de Lorraine, CNRS, CRAN UMR 7039, Nancy, France.; Laboratory of Laser Molecular Imaging and Machine Learning, Tomsk State University, Tomsk, Russia., Blondel W; Université de Lorraine, CNRS, CRAN UMR 7039, Nancy, France., Daul C; Université de Lorraine, CNRS, CRAN UMR 7039, Nancy, France., Amouroux M; Université de Lorraine, CNRS, CRAN UMR 7039, Nancy, France., Kistenev Y; Laboratory of Laser Molecular Imaging and Machine Learning, Tomsk State University, Tomsk, Russia.; Laboratory for Remote Sensing of the Environment, V.E. Zuev Institute of Atmospheric Optics SB RAS, Tomsk, Russia.
Jazyk: angličtina
Zdroj: Journal of biophotonics [J Biophotonics] 2023 Jul; Vol. 16 (7), pp. e202300035. Date of Electronic Publication: 2023 May 04.
DOI: 10.1002/jbio.202300035
Abstrakt: This study presents the results of the classification of diffuse reflectance (DR) spectra and multiexcitation autofluorescence (AF) spectra that were collected in vivo from precancerous and benign skin lesions at three different source detector separation (SDS) values. Spectra processing pipeline consisted of dimensionality reduction, which was performed using principal component analysis (PCA), followed by classification step using such methods as support vector machine (SVM), multilayered perceptron (MLP), linear discriminant analysis (LDA), and random forest (RF). In order to increase the efficiency of lesion classification, several data fusion methods were applied to the classification results: majority voting, stacking, and manual optimization of weights. The results of the study showed that in most of cases the use of data fusion methods increased the average multiclass classification accuracy from 2% up to 4%. The highest accuracy of multiclass classification was obtained using the manual optimization of weights and reached 94.41%.
(© 2023 Wiley-VCH GmbH.)
Databáze: MEDLINE
Externí odkaz: