The program: visual statistical analysis of skin structure images obtained by noninvasive methods (Lumen stratis)

E. V. Proidakova; K. S. Petrova; A. A. Karpenko; N. K. Shchennikova; G. G. Guruli; O. N. Goeva; E. A. Mikhailova; A. A. Brueva

doi:10.1117/12.3035742

23 November 2024 The program: visual statistical analysis of skin structure images obtained by noninvasive methods (Lumen stratis)

E. V. Proidakova, K. S. Petrova, A. A. Karpenko, N. K. Shchennikova, G. G. Guruli, O. N. Goeva, E. A. Mikhailova, A. A. Brueva

Author Affiliations +

Proceedings Volume 13239, Optoelectronic Imaging and Multimedia Technology XI; 132390R (2024) https://doi.org/10.1117/12.3035742
Event: SPIE/COS Photonics Asia, 2024, Nantong, Jiangsu, China

Conference Poster

Abstract

The program allows you to perform the following tasks: fast loading (without a converter) of OCT images (images); visualization of statistical image analysis conducted in dialogue with the user; saving research results in formats.bmp, .jpg, .tmg, .dat, .png and txt. The «Lumen stratis» software is used to analyze OCT images of the skin during a screening examination in order to promptly identify the nature of pathological skin changes. Certificate No. 2024615567 dated 03/11/2024 on the state registration of the computer program "Visual statistical analysis of skin structure images obtained by non-invasive methods (Lumen stratis)" was received. The possibility of using the program for diagnostic purposes and to objectify the evaluation of the effectiveness of cosmetic procedures is shown.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

E. V. Proidakova, K. S. Petrova, A. A. Karpenko, N. K. Shchennikova, G. G. Guruli, O. N. Goeva, E. A. Mikhailova, and A. A. Brueva "The program: visual statistical analysis of skin structure images obtained by noninvasive methods (Lumen stratis)", Proc. SPIE 13239, Optoelectronic Imaging and Multimedia Technology XI, 132390R (23 November 2024); https://doi.org/10.1117/12.3035742

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