… automated algorithm for classifying diagnostic categories of otitis media: acute otitis media,
otitis media with … or its absence that are provided by our automated otitis media classification …

… Otitis media is one of the most common … otitis medias. In this paper a system recently proposed
by three of the authors for automated diagnosis of middle ear pathology, or otitis media, is …

… With further research by teams of biomedical informatics experts and clinicians, we will
likely see several robust AI diagnostic tools or automated classification systems in practice. …

… Acute otitis media (AOM) is a frequently diagnosed illness in children, yet the accuracy of
diagnosis has been consistently low. Multiple neural networks have been developed to …

… automated diagnosis of otitis media is proposed. The method uses image-processing techniques
to classify otitis media. … undiagnosed images into five otitis media categories based on …

… Among them, 214 images diagnosed of acute otitis media (AOM) and otitis media with
effusion (OME) are used as the database for image classification in this study. For the OM image …

… a glimpse to the future for otitis media (OM) diagnosis, perhaps. Data acquisition from 126 …
tube placement for either recurrent acute otitis media (AOM) or otitis media with effusion (OME)…

… controls, and subjects diagnosed with acute otitis media (AOM), otitis media with effusion
(OME), chronic otitis media with effusion (COME), 1 and recurrent acute otitis media (RAOM). …

Objectives: The purpose of this study was to develop a deep-learning framework for the
diagnosis of chronic otitis media (COM) based on temporal bone computed tomography (CT) …

… diagnosed at all, especially when it is in the early stages. The aim of the study is to develop a
diagnostic … image classification which can help diagnose otitis media with greater accuracy. …