[HTML][HTML] Artificial Intelligence in CT Diagnosis: Current Status and Future Prospects for Ear Diseases
R Tang, P Zhao, J Li, Z Wang, N Xu, Z Wang - Meta-Radiology, 2024 - Elsevier
The human ear, with its complex structures like the ossicular chain, cochlea, and auditory
nerve, plays a crucial role in hearing and balance. Common ear diseases, such as hearing …
nerve, plays a crucial role in hearing and balance. Common ear diseases, such as hearing …
[HTML][HTML] Machine learning application in otology
H Koyama - Auris Nasus Larynx, 2024 - Elsevier
This review presents a comprehensive history of Artificial Intelligence (AI) in the context of
the revolutionary application of machine learning (ML) to medical research and clinical …
the revolutionary application of machine learning (ML) to medical research and clinical …
Middle ear-acquired cholesteatoma diagnosis based on CT scan image mining using supervised machine learning models
N Ouattassi, M Maaroufi, H Slaoui… - Beni-Suef University …, 2024 - Springer
Background Distinguishing between middle ear cholesteatoma and chronic suppurative
otitis media (CSOM) is an ongoing challenge. While temporal bone computed tomography …
otitis media (CSOM) is an ongoing challenge. While temporal bone computed tomography …
How reliable is artificial intelligence in the diagnosis of cholesteatoma on CT images?
A Emilio, P De Luca, T Max, S Agnese… - American Journal of …, 2024 - Elsevier
Purpose This study analysed the main artificial intelligence (AI) models for the diagnosis of
cholesteatoma on computed tomography (CT), evaluating their performance and comparing …
cholesteatoma on computed tomography (CT), evaluating their performance and comparing …
Automated Detection and Classification of Pediatric Middle Ear Diseases from CT using Entropy Projection and Feature Interaction
W Li, J Zhang, J Guo, X Wang, G Xu… - … on Bioinformatics and …, 2024 - ieeexplore.ieee.org
Existing methods for diagnosing middle ear diseases using temporal bone computed
tomography (CT) imaging primarily focus on adult datasets and require labor-intensive …
tomography (CT) imaging primarily focus on adult datasets and require labor-intensive …
A Cloud-Edge Collaborative Model Training Framework for Assisted Classification of Middle Ear Diseases Based on Ultra-High-Resolution Temporal Bone CT Images
T Wu, Y Tang, Z Che, J Zhao, J Wang, Y Wu, W Meng… - 2024 - researchsquare.com
Objective Cholesteatoma and otitis media are two of the most common middle ear diseases,
of which the treatment principles are different, making the differentiation between them of …
of which the treatment principles are different, making the differentiation between them of …
Diagnosis of Middle Ear Diseases using Deep Learning Paradigm
DK Tayal, N Srivastava, U Singh - … International Conference on …, 2023 - ieeexplore.ieee.org
In recent years, research has focused on developing a deep learning network that could use
images of the ear drum identify conditions in the middle ear. Automatic ear problem …
images of the ear drum identify conditions in the middle ear. Automatic ear problem …