E. N. Pavlovskiy, D. V. Pakulich, S. O. Pospelov, “Restoration of the 3D Skull Defect Model Based on Deep Neural Networks”, Novosibirsk State University Journal of Information Technologies, 2017, Volume 15, Issue 3,Pages <nobr>74

This article is cited in 2 papers

Restoration of the 3D Skull Defect Model Based on Deep Neural Networks

E. N. Pavlovskiy, D. V. Pakulich, S. O. Pospelov

Novosibirsk State University, 1 Pirogov St., Novosibirsk, 630090, Russian Federation

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.

Keywords: deep neural networks, 3D, skull, cranioplasty, autoencoder.

UDC: 004.852

DOI: 10.25205/1818-7900-2017-15-3-74-78