Deep metric learning for otitis media classification

Author:

Sundgaard Josefine Vilsbøll,Harte JamesORCID,Bray PeterORCID,Laugesen SørenORCID,Kamide Yosuke,Tanaka Chiemi,Paulsen Rasmus R.,Christensen Anders Nymark

Funder

William Demant and Hustru Ida Emilies Foundation

Publisher

Elsevier BV

Subject

Computer Graphics and Computer-Aided Design,Health Informatics,Computer Vision and Pattern Recognition,Radiology, Nuclear Medicine and imaging,Radiological and Ultrasound Technology

Reference36 articles.

1. Bielski, A., 2018. Siamese and triplet networks.

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3. Is it possible to diagnose acute otitis media accurately in primary health care?;Blomgren;Fam. Pract.,2003

4. Adherence to treatment guidelines for acute otitis media in children. the necessity of an effective strategy of guideline implementation;Célind;Int. J. Pediatr. Otorhinolaryngol.,2014

5. Automated diagnosis of ear disease using ensemble deep learning with a big otoendoscopy image database;Cha;EBioMedicine,2019

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