Segmentation of 3D OCT Images of Human Skin Using Neural Networks with U-Net Architecture.

Journal: Sovremennye tekhnologii v meditsine
PMID: 40071081

Abstract

UNLABELLED: is a comparative analysis of algorithms for segmentation of three-dimensional OCT images of human skin using neural networks based on U-Net architecture when training the model on two-dimensional and three-dimensional data.

Authors

  • V A Shishkova
    Junior Researcher; A.V. Gaponov-Grekhov Institute of Applied Physics of the Russian Academy of Sciences, 46 Ulyanov St., Nizhny Novgorod, 603950.
  • N V Gromov
    Laboratory Research Assistant, Research Laboratory of Perspective Methods of Multidimensional Data Analysis, Institute of Information Technologies, Mathematics, and Mechanics; National Research Lobachevsky State University of Nizhny Novgorod, 23 Prospekt Gagarina, Nizhny Novgorod, 603022, Russia.
  • A M Mironycheva
    Junior Researcher; A.V. Gaponov-Grekhov Institute of Applied Physics of the Russian Academy of Sciences, 46 Ulyanov St., Nizhny Novgorod, 603950 Assistant, Department of Skin and Venereal Diseases; Privolzhsky Research Medical University, 10/1 Minin and Pozharsky Square, Nizhny Novgorod, 603005, Russia.
  • M Yu Kirillin
    PhD, Senior Researcher; A.V. Gaponov-Grekhov Institute of Applied Physics of the Russian Academy of Sciences, 46 Ulyanov St., Nizhny Novgorod, 603950.

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