Schnelle Segmentierung von Synchrotron-Tomografie mittels Deep Learning

Strohmann, Tobias and Bugelnig, Katrin and Breitbarth, Eric and Wilde, Fabian and Requena, Guillermo (2021) Schnelle Segmentierung von Synchrotron-Tomografie mittels Deep Learning. DGM Arbeitskreis Röntgentomografie, 2021-05-26, online.

Full text not available from this repository.

Item URL in elib:

https://elib.dlr.de/146648/

Document Type:

Conference or Workshop Item (Speech)

Title:

Schnelle Segmentierung von Synchrotron-Tomografie mittels Deep Learning

Authors:

Authors	Institution or Email of Authors	Author's ORCID iD	ORCID Put Code
Strohmann, Tobias	UNSPECIFIED	UNSPECIFIED	UNSPECIFIED
Bugelnig, Katrin	UNSPECIFIED	UNSPECIFIED	UNSPECIFIED
Breitbarth, Eric	UNSPECIFIED	https://orcid.org/0000-0002-3479-9143	UNSPECIFIED
Wilde, Fabian	Institute for Materials Research, Helmholtz-Zentrum Geesthacht	UNSPECIFIED	UNSPECIFIED
Requena, Guillermo	UNSPECIFIED	UNSPECIFIED	UNSPECIFIED

Date:

26 May 2021

Refereed publication:

Open Access:

Gold Open Access:

In SCOPUS:

In ISI Web of Science:

Status:

Published

Keywords:

Synchrotron-Tomografie, Al-Si-Legierung, Mikrostruktur, Segmentierung, Deep Learning, U-Net

Event Title:

DGM Arbeitskreis Röntgentomografie

Event Location:

online

Event Type:

Workshop

Event Date:

26 May 2021

Organizer:

Deutsche Gesellschaft für Materialkunde e.V. (DGM)

HGF - Research field:

Aeronautics, Space and Transport

HGF - Program:

Aeronautics

HGF - Program Themes:

Components and Systems

DLR - Research area:

Aeronautics

DLR - Program:

L CS - Components and Systems

DLR - Research theme (Project):

L - Structural Materials and Design

Location:

Köln-Porz

Institutes and Institutions:

Institute of Materials Research > Metallic Structures and Hybrid Material Systems

Deposited By:

Strohmann, Tobias

Deposited On:

03 Dec 2021 09:33

Last Modified:

15 Oct 2024 07:03

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