Otitis Media


Welcome to Otitis Media Research Group

Otitis media refers to a group of inflammatory diseases of the middle ear. 

According to the literature, the use of computational approaches on otology is rather limited. The examination of the eardrum in clinics are conducted visually. This process leads to a limited variability among the observers, includes human error, and it is not objective. It is observed that the practitioners do not fully understand the importance of decision support systems in this field. 

In this project, we tackle these disadvantages by applying the computational approaches to otoscope images for detection of tympanic membrane and classification of different otitis media types. 

Otitis Media Databases
The eardrum database
Otitis media publications
Convolutional Neural Network Approach for Automatic Tympanic Membrane Detection and Classification
Fusing fine-tuned deep features for otitis media diagnosis
Members

Dr. Zafer CÖMERT
Bitlis Eren University, Turkey
Web | Scholar | RG

Ph.D. Candidate Erdal BAŞARAN
Karabük University, Turkey
Web | Scholar | RG

Dr. Yüksel ÇELİK
Karabük University, Turkey
Web | Scholar | RG

Research Community


Members

The members prepare universal papers collaboratively.

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Publications

The papers published by the community can be examined easily at here.

Download

Soon, you can download CTG-OAS. We are waiting for completion of the publication process.

Please feel free to meet and join us.


This is an academic platform. Please feel free to meet and join us. A wide variety of talented members give our team the opportunity to innovate in nearly every domain of Biomedical Signal Processing, especially Cardiotocography.

The lastest publications!

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