Assessing the effectiveness of multimodal data fusion methods for in-vivo diagnosis of pre-cancerous skin conditions in a preclinical model

Valentin Kupriyanov; Walter Blondel; Christian Daul; Marine Amouroux; Yury Kistenev

doi:10.1117/12.2649626

6 March 2023 Assessing the effectiveness of multimodal data fusion methods for in-vivo diagnosis of pre-cancerous skin conditions in a preclinical model

Valentin Kupriyanov, Walter Blondel, Christian Daul, Marine Amouroux, Yury Kistenev

Author Affiliations +

Proceedings Volume 12373, Optical Biopsy XXI: Toward Real-Time Spectroscopic Imaging and Diagnosis; 1237307 (2023) https://doi.org/10.1117/12.2649626
Event: SPIE BiOS, 2023, San Francisco, California, United States

Abstract

Optical biopsy methods, which consists of analysing the response of tissue to light excitation, are being increasingly used in recent years for the diagnosis of skin pathologies. At the same time, the use of multimodal methods often significantly increases diagnostic efficiency as well as extending the limits of applicability of the methods. This contribution presents the results of in vivo analysis of precancerous and benign skin conditions (compensatory hyperplasia, atypical hyperplasia and dysplasia) in mice preclinical model, based on bimodal spectroscopic data, including multiply excited autofluorescence with 7 autofluorescence excitation wavelengths in the 360-430 nm range and diffuse reflectance spectroscopy with xenon lamp, that emits mainly in the 300-800 nm spectral range, as a source. The instrument used in this study provided the ability to collect spectra in the spectral range 317 - 789 nm at three different source-detector separations: 271, 536 and 834 μm. The results were processed using machine learning methods (principal component analysis, support vector machine, linear discriminant analysis, artificial neural network) and then various data fusion methods (Stacking, Begging, Boosting, Voting) were implemented to combine the results of analysis of all the modalities. This study presents a comparison of the performance of these data fusion methods. The results obtained in this work can be further applied to the diagnosis of carcinoma using optical biopsy methods.

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Citation Download Citation

Valentin Kupriyanov, Walter Blondel, Christian Daul, Marine Amouroux, and Yury Kistenev "Assessing the effectiveness of multimodal data fusion methods for in-vivo diagnosis of pre-cancerous skin conditions in a preclinical model", Proc. SPIE 12373, Optical Biopsy XXI: Toward Real-Time Spectroscopic Imaging and Diagnosis, 1237307 (6 March 2023); https://doi.org/10.1117/12.2649626

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