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

Machine Learning from Digital Images in Dermatology (8) Clinical Information and Decision Making (1112) Digital Photography and Imaging in Dermatology (28) Machine Learning (1189) Cancer Prognosis Models and Machine Learning (7)

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 Gassner 1, 2 Author Orcid Image ;   Javier Barranco Garcia 3 Author Orcid Image ;   Stephanie Tanadini-Lang 3 Author Orcid Image ;   Fabio Bertoldo 4 Author Orcid Image ;   Fabienne Fröhlich 4 Author Orcid Image ;   Matthias Guckenberger 3 Author Orcid Image ;   Silvia Haueis 4 Author Orcid Image ;   Christin Pelzer 4 Author Orcid Image ;   Mauricio Reyes 5, 6 Author Orcid Image ;   Patrick Schmithausen 4 Author Orcid Image ;   Dario Simic 4 Author Orcid Image ;   Ramon Staeger 4 Author Orcid Image ;   Fabio Verardi 4 Author Orcid Image ;   Nicolaus Andratschke 3 Author Orcid Image ;   Andreas Adelmann 7 Author Orcid Image ;   Ralph P Braun 8 Author Orcid Image
Article Authors Cited by (1) Tweetations (3) Metrics

Journals

  1. Hire D, Patil A, Charles P. Efficient rotated and scaled digital image retrieval model using deep learning-based hybrid features extraction. Multimedia Tools and Applications 2023 View