Deep learning multi-classification of middle ear diseases using synthetic tympanic images

Synthetic images generated by GANs have potential utility in the development of machine-learning models for medical diagnosis.

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Publication Details

Journal
Acta Oto-Laryngologica
Published
2025-01-10
DOI
https://doi.org/10.1080/00016489.2024.2448829
Citations
3
Primary Topic
Ear Surgery and Otitis Media
Type
article
Field-Weighted Citation Impact
5.54
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article

Deep learning multi-classification of middle ear diseases using synthetic tympanic images

Masato Yamada, Taku Ito, Yoshimaru Mizoguchi, Takeshi Tsutsumi
3 citations
Acta Oto-Laryngologica
Ear Surgery and Otitis Media
5.54
article

Deep learning multi-classification of middle ear diseases using synthetic tympanic images

Masato Yamada, Taku Ito, Yoshimaru Mizoguchi, Takeshi Tsutsumi
article en
3 citations

Abstract

Synthetic images generated by GANs have potential utility in the development of machine-learning models for medical diagnosis.

Acta Oto-LaryngologicaVol. 145(2)
Shanghai Institute for Science of Science (CN), Tsuchiura Kyodo General Hospital (JP), Institute of Science Tokyo (JP)
Quality Education
Openalex Percentile: Top 5%
Ear Surgery and Otitis Media
5.54
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