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

Machine Learning from Digital Images in Dermatology (9) Clinical Information and Decision Making (1385) Digital Photography and Imaging in Dermatology (32) Machine Learning (1445) Cancer Prognosis Models and Machine Learning (13)

Published on in Vol 6 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/42129, first published .
Saliency-Enhanced Content-Based Image Retrieval for Diagnosis Support in Dermatology Consultation: Reader Study

Saliency-Enhanced Content-Based Image Retrieval for Diagnosis Support in Dermatology Consultation: Reader Study

Saliency-Enhanced Content-Based Image Retrieval for Diagnosis Support in Dermatology Consultation: Reader Study

Authors of this article:

Mathias Gassner1, 2 Author Orcid Image ;   Javier Barranco Garcia3 Author Orcid Image ;   Stephanie Tanadini-Lang3 Author Orcid Image ;   Fabio Bertoldo4 Author Orcid Image ;   Fabienne Fröhlich4 Author Orcid Image ;   Matthias Guckenberger3 Author Orcid Image ;   Silvia Haueis4 Author Orcid Image ;   Christin Pelzer4 Author Orcid Image ;   Mauricio Reyes5, 6 Author Orcid Image ;   Patrick Schmithausen4 Author Orcid Image ;   Dario Simic4 Author Orcid Image ;   Ramon Staeger4 Author Orcid Image ;   Fabio Verardi4 Author Orcid Image ;   Nicolaus Andratschke3 Author Orcid Image ;   Andreas Adelmann7 Author Orcid Image ;   Ralph P Braun8 Author Orcid Image
Article Authors Cited by (5) Tweetations (3) Metrics
All Time | Last Month | Last Six Months | Last Year
There are currently no tweets available for this article within the specified range.