Democratized image analytics by visual programming through integration of deep models and small-scale machine learning

Autor: Primož Godec, Matjaž Pančur, Nejc Ilenič, Andrej Čopar, Martin Stražar, Aleš Erjavec, Ajda Pretnar, Janez Demšar, Anže Starič, Marko Toplak, Lan Žagar, Jan Hartman, Hamilton Wang, Riccardo Bellazzi, Uroš Petrovič, Silvia Garagna, Maurizio Zuccotti, Dongsu Park, Gad Shaulsky, Blaž Zupan
Jazyk: angličtina
Rok vydání: 2019
Předmět:
Zdroj: Nature Communications, Vol 10, Iss 1, Pp 1-7 (2019)
Druh dokumentu: article
ISSN: 2041-1723
DOI: 10.1038/s41467-019-12397-x
Popis: Deep learning approaches for image preprocessing and analysis offer important advantages, but these are rarely incorporated into user-friendly software. Here the authors present an easy-to-use visual programming toolbox integrating deep-learning and interactive data visualization for image analysis.
Databáze: Directory of Open Access Journals