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

Publikation

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

Wissenschaftlicher Artikel/Review - 24.08.2023

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

Zitation

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.

Art

Wissenschaftlicher Artikel/Review (Englisch)

Zeitschrift

JMIR Dermatol 2023; 6

Veröffentlichungsdatum

24.08.2023

eISSN (Online)

2562-0959

Seiten

e42129

Kurzbeschreibung/Zielsetzung

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.