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

Publication

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

Journal Paper/Review - Aug 24, 2023

Gassner Mathias, Barranco Garcia Javier, Tanadini-Lang Stephanie, Bertoldo Fabio, Fröhlich Fabienne, Guckenberger Matthias, Haueis Silvia, Pelzer Christin, Reyes Mauricio, Schmithausen Patrick, Simic Dario, Stäger Ramon, Verardi Fabio, Andratschke Nicolaus, Adelmann Andreas, Braun Ralph

Citation

Gassner M, Barranco Garcia J, Tanadini-Lang S, Bertoldo F, Fröhlich F, Guckenberger M, Haueis S, Pelzer C, Reyes M, Schmithausen P, Simic D, Stäger R, Verardi F, Andratschke N, Adelmann A, Braun R. Saliency-Enhanced Content-Based Image Retrieval for Diagnosis Support in Dermatology Consultation: Reader Study. JMIR Dermatol 2023; 6:e42129.

Type

Journal Paper/Review (English)

Journal

JMIR Dermatol 2023; 6

Publication Date

Aug 24, 2023

Issn Electronic

2562-0959

Pages

e42129

Brief description/objective

Previous research studies have demonstrated that medical content image retrieval can play an important role by assisting dermatologists in skin lesion diagnosis. However, current state-of-the-art approaches have not been adopted in routine consultation, partly due to the lack of interpretability limiting trust by clinical users.