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
Tympanic membrane data set
Upcoming publications
An integrated diagnosis system based on pretrained deep convolutional neural networks for Otitis media
Convolutional neural network approach for automatic tympanic membrane detection and classification
Normal and Acute Tympanic Membrane Diagnosis based on Gray Level Co-Occurrence Matrix and Artificial Neural Networks
Fusing fine-tuned deep features for recognizing different tympanic membranes
Determination of Tympanic Membrane Region in the Middle Ear Otoscope Images with Convolutional Neural Network Based YOLO Method
Otitis media diagnosis model for tympanic membrane images processed in two-stage processing blocks
Otitis media detection using tympanic membrane images with a novel multi-class machine learning algorithm

Assoc. Prof. Zafer CÖMERT
Samsun University, Turkey
Web | Scholar | RG

Manonmaniam Sundaranar University, Department of Computer Science and Engineering, India
Web | Scholar | RG

Asst. Prof. Erdal BAŞARAN
Ağrı İbrahim Çeçen University, Turkey
Web | Scholar | RG

Asst. Prof. Yüksel ÇELİK
Karabük University, Turkey
Web | Scholar | RG

Dr. Ümit BUDAK
Bitlis Eren University, Turkey
Web | Scholar | RG

Prof. Dr. Abdülkadir ŞENGÜR
Fırat University, Turkey
Web | Scholar | RG

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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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