Восстановление 3D-модели дефекта черепа на основе глубоких нейронных сетей

Translated title of the contribution: Restoration of The 3D Skull Defect Model Based on Deep Neural Networks

Research output: Contribution to journalArticlepeer-review

Abstract

The article is devoted to the creation of a method for automatic modeling of the 3D skull defect. A method based on a deep neural network is proposed, which allows creating with a reasonable accuracy a 3D model of the lost part of the skull, regardless of the localization of the defect
Translated title of the contributionRestoration of The 3D Skull Defect Model Based on Deep Neural Networks
Original languageRussian
Pages (from-to)74-78
Number of pages5
JournalВестник Новосибирского государственного университета. Серия: Информационные технологии
Volume15
Issue number3
DOIs
Publication statusPublished - 1 Sep 2017

Keywords

  • deep neural networks
  • 3D
  • skull
  • cranioplasty
  • autoencoder

OECD FOS+WOS

  • 1.02.EP COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

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