[HTML][HTML] Image-based artificial intelligence technology for diagnosing middle ear diseases: a systematic review

D Song, T Kim, Y Lee, J Kim - Journal of Clinical Medicine, 2023 - mdpi.com
Otolaryngological diagnoses, such as otitis media, are traditionally performed using
endoscopy, wherein diagnostic accuracy can be subjective and vary among clinicians. The …

[HTML][HTML] An empirical evaluation of convolutional networks for malaria diagnosis

A Loddo, C Fadda, C Di Ruberto - Journal of Imaging, 2022 - mdpi.com
Malaria is a globally widespread disease caused by parasitic protozoa transmitted to
humans by infected female mosquitoes of Anopheles. It is caused in humans only by the …

[HTML][HTML] Otitis media detection using tympanic membrane images with a novel multi-class machine learning algorithm

A Alhudhaif, Z Cömert, K Polat - PeerJ Computer Science, 2021 - peerj.com
Background Otitis media (OM) is the infection and inflammation of the mucous membrane
covering the Eustachian with the airy cavities of the middle ear and temporal bone. OM is …

Classical approaches and new deep learning trends to assist in accurately and efficiently diagnosing ear disease from otoscopic images

DC Jobanputra, M Bennamoun… - 2023 11th European …, 2023 - ieeexplore.ieee.org
Rural communities in Australia have limited access to Ear, Nose and Throat (ENT)
specialists, resulting in a lack of expertise to provide a diagnosis of complex and chronic ear …

[HTML][HTML] Evaluating the generalizability of deep learning image classification algorithms to detect middle ear disease using otoscopy

AR Habib, Y Xu, K Bock, S Mohanty, T Sederholm… - Scientific reports, 2023 - nature.com
To evaluate the generalizability of artificial intelligence (AI) algorithms that use deep
learning methods to identify middle ear disease from otoscopic images, between internal to …

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 …

Neighbourhood component analysis and deep feature-based diagnosis model for middle ear otoscope images

E Başaran, Z Cömert, Y Çelik - Neural Computing and Applications, 2022 - Springer
Otitis media (OM), known as inflammation of the middle ear, is a condition especially seen in
children. To carry out a definitive diagnosis of the discomfort that manifests itself with various …

Normal ve Kronik Hastalıklı Orta Kulak İmgelerinin Evrişimsel Sinir Ağları Yöntemiyle Tespit Edilmesi

E Başaran, Z Cömert, A Sengur, Ü Budak… - Türkiye Bilişim Vakfı …, 2020 - dergipark.org.tr
Orta kulak iltihabı kulak zarının arkasında sıvı birikmesi olarak bilinmektedir. Orta kulak
iltihabının uzun süreli tedaviye yanıt vermemesi ve kulak zarının delinmesi ile karakterize …

Classification of Otitis Media Infections using Image Processing and Convolutional Neural Network

AI Elabbas, KK Khan… - 2021 IEEE 13th …, 2021 - ieeexplore.ieee.org
Developing countries still to this day suffer from misdiagnosis of otitis media infections.
Various studies to solve this issue with various success rates. This study explores a different …

[HTML][HTML] OtoPair: Combining right and left eardrum otoscopy images to improve the accuracy of automated image analysis

S Camalan, AC Moberly, T Teknos, G Essig… - Applied Sciences, 2021 - mdpi.com
The accurate diagnosis of otitis media (OM) and other middle ear and eardrum
abnormalities is difficult, even for experienced otologists. In our earlier studies, we …