Please use this identifier to cite or link to this item:
Publication type: Contribution to magazine or newspaper
Title: Deep Learning in medizinischer Diagnostik und Qualitätskontrolle
Authors: Stadelmann, Thilo
Schilling, Frank-Peter
et. al: No
DOI: 10.21256/zhaw-20163
Published in: Netzwoche
Issue Date: 15-May-2019
Publisher / Ed. Institution: Netzmedien
ISSN: 1424-2397
Language: German
Subject (DDC): 006: Special computer methods
610: Medicine and health
Abstract: Künstliche Intelligenz und maschinelles Lernen eröffnen vielversprechende Anwendungsmöglichkeiten in der Medizin. Insbesondere Deep-Learning-Algorithmen bieten neue Lösungsansätze sowohl in der bildgestützten medizinischen Diagnostik als auch in der Qualitätskontrolle von Medizinprodukten.
Further description: Erschienen in : Special Issue IT for Health 01/2019, S. 24-25
Fulltext version: Published version
License (according to publishing contract): Licence according to publishing contract
Departement: School of Engineering
Organisational Unit: Institute of Applied Information Technology (InIT)
Published as part of the ZHAW project: QualitAI - Quality control of industrial products via deep learning on images
Appears in collections:Publikationen School of Engineering

Files in This Item:
File Description SizeFormat 
2019_Stadelmann-Schilling_Deep-Learning_Netzwoche.pdf647.58 kBAdobe PDFThumbnail

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.