This paper is in the following e-collection/theme issue:

Decision Support for Health Professionals (1185) Machine Learning (1465) Clinical Informatics (1022) Artificial Intelligence (1371)

Published on in Vol 10, No 8 (2022): August

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/37284, first published .
Interactive Medical Image Labeling Tool to Construct a Robust Convolutional Neural Network Training Data Set: Development and Validation Study

Interactive Medical Image Labeling Tool to Construct a Robust Convolutional Neural Network Training Data Set: Development and Validation Study

Interactive Medical Image Labeling Tool to Construct a Robust Convolutional Neural Network Training Data Set: Development and Validation Study

Authors of this article:

David Reifs1 Author Orcid Image ;   Ramon Reig-Bolaño1 Author Orcid Image ;   Marta Casals2 Author Orcid Image ;   Sergi Grau-Carrion1 Author Orcid Image
Article Authors Cited by Tweetations (2) Metrics

David Reifs   1 , PhD ;   Ramon Reig-Bolaño   1 , PhD ;   Marta Casals   2 , MSN ;   Sergi Grau-Carrion   1 , PhD

1 Digital Care Research Group, Centre for Health and Social Care, Universitat of Vic-Central University of Catalonia, Vic, Spain

2 Hospital Santa Creu de Vic, Vic, Spain

Corresponding Author:

  • David Reifs, PhD
  • Digital Care Research Group, Centre for Health and Social Care
  • Universitat of Vic-Central University of Catalonia
  • Carrer de la Sagrada Família, 7
  • Vic, 08500
  • Spain
  • Phone: 34 938861222
  • Email: david.reifs@uvic.cat