Otitis Media Diagnosis for Developing Countries Using Tympanic Membrane Image-Analysis.

ABSTRACT:

Background

Otitis media is one of the most common childhood diseases worldwide, but because of lack of doctors and health personnel in developing countries it is often misdiagnosed or not diagnosed at all. This may lead to serious, and life-threatening complications. There is, thus a need for an automated computer based image-analyzing system that could assist in making accurate otitis media diagnoses anywhere.

Methods

A method for automated diagnosis of otitis media is proposed. The method uses image-processing techniques to classify otitis media. The system is trained using high quality pre-assessed images of tympanic membranes, captured by digital video-otoscopes, and classifies undiagnosed images into five otitis media categories based on predefined signs. Several verifi

SUBMITTER: Myburgh HC 

PROVIDER: S-EPMC4816811 | biostudies-literature | 2016 Mar

REPOSITORIES: biostudies-literature