Evaluating the efficacy of different data processing methods in diagnosing precancerous skin conditions in a preclinical in-vivo model using bimodal spectroscopy

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

doi:10.1117/12.2650369

7 March 2023 Evaluating the efficacy of different data processing methods in diagnosing precancerous skin conditions in a preclinical in-vivo model using bimodal spectroscopy

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

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Proceedings Volume 12378, Dynamics and Fluctuations in Biomedical Photonics XX; 123780C (2023) https://doi.org/10.1117/12.2650369
Event: SPIE BiOS, 2023, San Francisco, California, United States

Conference Poster

Abstract

Non-invasive diagnosis of skin pathologies as skin cancer using optical methods has become increasingly common in recent years. However, the related skin data processing is often quite complex, and the way in which this step is carried out can significantly affect the final results. This study presents the results of diffuse reflectance spectra (with spectral range of the emission source is 300-800 nm) and autofluorescence spectra (with 7 autofluorescence excitation wavelengths in the 360-430 nm range) obtained in vivo from precancerous and benign skin lesions of various types (compensatory hyperplasia, atypical hyperplasia and dysplasia). The skin lesions were modelled using a preclinical model in mice. Spectra were taken in the range of 317 - 789 nm at three different source-detector separations: 271, 536 and 834 μm. The spectra obtained were processed using statistical feature extraction techniques, traditional machine learning (support vector machine, linear discriminant analysis, k-nearest neighbors) and deep learning methods (artificial neural network, convolutional neural network, autoencoder). This study presents a comparison of the performance of these methods and their combinations for multiclass classification of skin lesions.

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Valentin Kupriyanov, Walter Blondel, Christian Daul, Marine Amouroux, and Yury Kistenev "Evaluating the efficacy of different data processing methods in diagnosing precancerous skin conditions in a preclinical in-vivo model using bimodal spectroscopy", Proc. SPIE 12378, Dynamics and Fluctuations in Biomedical Photonics XX, 123780C (7 March 2023); https://doi.org/10.1117/12.2650369

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