Nature Communications (Oct 2019)
Democratized image analytics by visual programming through integration of deep models and small-scale machine learning
- 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
Affiliations
- Primož Godec
- Faculty of Computer and Information Science, University of Ljubljana
- Matjaž Pančur
- Faculty of Computer and Information Science, University of Ljubljana
- Nejc Ilenič
- Faculty of Computer and Information Science, University of Ljubljana
- Andrej Čopar
- Faculty of Computer and Information Science, University of Ljubljana
- Martin Stražar
- Faculty of Computer and Information Science, University of Ljubljana
- Aleš Erjavec
- Faculty of Computer and Information Science, University of Ljubljana
- Ajda Pretnar
- Faculty of Computer and Information Science, University of Ljubljana
- Janez Demšar
- Faculty of Computer and Information Science, University of Ljubljana
- Anže Starič
- Faculty of Computer and Information Science, University of Ljubljana
- Marko Toplak
- Faculty of Computer and Information Science, University of Ljubljana
- Lan Žagar
- Faculty of Computer and Information Science, University of Ljubljana
- Jan Hartman
- Faculty of Computer and Information Science, University of Ljubljana
- Hamilton Wang
- Department of Molecular and Human Genetics, Baylor College of Medicine
- Riccardo Bellazzi
- Faculty of Engineering, University of Pavia
- Uroš Petrovič
- Biotechnical Faculty, University of Ljubljana
- Silvia Garagna
- Department of Biology and Biotechnology, University of Pavia
- Maurizio Zuccotti
- Department of Biology and Biotechnology, University of Pavia
- Dongsu Park
- Department of Molecular and Human Genetics, Baylor College of Medicine
- Gad Shaulsky
- Department of Molecular and Human Genetics, Baylor College of Medicine
- Blaž Zupan
- Faculty of Computer and Information Science, University of Ljubljana
- DOI
- https://doi.org/10.1038/s41467-019-12397-x
- Journal volume & issue
-
Vol. 10,
no. 1
pp. 1 – 7
Abstract
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.
