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

Artificial Intelligence (1377) Imaging Informatics (194) Machine Learning (1471) Clinical Information and Decision Making (1411) Decision Support for Health Professionals (1191) New Methods (946) Clinical Informatics (1028) ENT (Ear, Nose, Throat) (29)

Published on in Vol 23, No 9 (2021): September

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/29678, first published .
A Fully Automated Analytic System for Measuring Endolymphatic Hydrops Ratios in Patients With Ménière Disease via Magnetic Resonance Imaging: Deep Learning Model Development Study

A Fully Automated Analytic System for Measuring Endolymphatic Hydrops Ratios in Patients With Ménière Disease via Magnetic Resonance Imaging: Deep Learning Model Development Study

A Fully Automated Analytic System for Measuring Endolymphatic Hydrops Ratios in Patients With Ménière Disease via Magnetic Resonance Imaging: Deep Learning Model Development Study

Authors of this article:

Chae Jung Park1 Author Orcid Image ;   Young Sang Cho2 Author Orcid Image ;   Myung Jin Chung3 Author Orcid Image ;   Yi-Kyung Kim3 Author Orcid Image ;   Hyung-Jin Kim3 Author Orcid Image ;   Kyunga Kim1, 4 Author Orcid Image ;   Jae-Wook Ko5 Author Orcid Image ;   Won-Ho Chung2 Author Orcid Image ;   Baek Hwan Cho6 Author Orcid Image
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