Segmentation of 3D OCT Images of Human Skin Using Neural Networks with U-Net Architecture
Neural networks based on U-Net architecture allow segmentation of skin layers on OCT images with high accuracy, which makes these networks promising for obtaining valuable diagnostic information in dermatology and cosmetology, e.g., for estimating the thickness of skin layers.
Authors
- Nikolay V. Gromov (ORCID: https://orcid.org/0009-0004-9593-4443)
- Mikhail Kirillin (ORCID: https://orcid.org/0000-0002-6804-6369)
- V.A. Shishkova
- A.M. Mironycheva (ORCID: https://orcid.org/0000-0002-7535-3025)
Institutions
- Privolzhsky Research Medical University (RU)
- Institute of Applied Physics (RU)
- N. I. Lobachevsky State University of Nizhny Novgorod (RU)
Publication Details
- Journal
- Sovremennye tehnologii v medicine
- Published
- 2025-02-28
- DOI
- https://doi.org/10.17691/stm2025.17.1.01
- Citations
- 3
- Primary Topic
- Optical Imaging and Spectroscopy Techniques
- Type
- article
- Field-Weighted Citation Impact
- 4.08
Funders
- Russian Science Foundation
- Lobachevsky State University of Nizhny Novgorod