An ensemble approach for classification of tympanic membrane conditions using soft voting classifier
Otitis media is a medical concept that represents a range of inflammatory middle ear
disorders. The high costs of medical devices utilized by field experts to diagnose the disease …
disorders. The high costs of medical devices utilized by field experts to diagnose the disease …
Automated multi-class classification for prediction of tympanic membrane changes with deep learning models
Y Choi, J Chae, K Park, J Hur, J Kweon, JH Ahn - Plos one, 2022 - journals.plos.org
Backgrounds and objective Evaluating the tympanic membrane (TM) using an
otoendoscope is the first and most important step in various clinical fields. Unfortunately …
otoendoscope is the first and most important step in various clinical fields. Unfortunately …
Insight into automatic image diagnosis of ear conditions based on optimized deep learning approach
Examining otoscopic images for ear diseases is necessary when the clinical diagnosis of
ear diseases extracted from the knowledge of otolaryngologists is limited. Improved …
ear diseases extracted from the knowledge of otolaryngologists is limited. Improved …
Fusing fine-tuned deep features for recognizing different tympanic membranes
C Zafer - Biocybernetics and Biomedical Engineering, 2020 - Elsevier
Otitis media (OM) refers to a group of inflammatory diseases regarding the middle ear.
Although there are a wide variety of disease types regarding OM, the most commonly seen …
Although there are a wide variety of disease types regarding OM, the most commonly seen …
classification of tympanic membrane images based on VGG16 model
A Çalışkan - Kocaeli Journal of Science and Engineering, 2022 - dergipark.org.tr
Otitis Media (OM) is a type of infectious disease caused by viruses and/or bacteria in the
middle ear cavity. In the current study, it is aimed to detect the eardrum region in middle ear …
middle ear cavity. In the current study, it is aimed to detect the eardrum region in middle ear …
Automated diagnosis of ear disease using ensemble deep learning with a big otoendoscopy image database
Background Ear and mastoid disease can easily be treated by early detection and
appropriate medical care. However, short of specialists and relatively low diagnostic …
appropriate medical care. However, short of specialists and relatively low diagnostic …
Classification of ear imagery database using Bayesian optimization based on CNN-LSTM architecture
The external and middle ear conditions are diagnosed using a digital otoscope. The clinical
diagnosis of ear conditions is suffered from restricted accuracy due to the increased …
diagnosis of ear conditions is suffered from restricted accuracy due to the increased …
Otitis media diagnosis model for tympanic membrane images processed in two-stage processing blocks
In chapter 14 an original dataset is created by collecting tympanic membrane images from
volunteer patients using an otoscope device. The AlexNet, VGG16, GoogLeNet and …
volunteer patients using an otoscope device. The AlexNet, VGG16, GoogLeNet and …
Normal and acute tympanic membrane diagnosis based on gray level co-occurrence matrix and artificial neural networks
Otitis Media (OM) is the general name of middle ear inflammation. In order to diagnose this
disease, it is important to examine the middle ear tympanic membrane (TM) by a standard …
disease, it is important to examine the middle ear tympanic membrane (TM) by a standard …
Convolutional neural network approach for automatic tympanic membrane detection and classification
Otitis media (OM) is a term used to describe the inflammation of the middle ear. The clinical
inspection of the tympanic membrane is conducted visually by experts. Visual inspection …
inspection of the tympanic membrane is conducted visually by experts. Visual inspection …