Optimized deep learning model for diagnosing tonsil and adenoid hypertrophy through X-rays
The deep learning model combining YOLOv8n and ResNet18 based on lateral nasopharyngeal X-rays demonstrates significant advantages in diagnosing pediatric tonsillar and adenoid hypertrophy.
Authors
- Yang Ya-li (ORCID: https://orcid.org/0000-0001-5745-0780)
- Ran Zhuo (ORCID: https://orcid.org/0000-0003-4546-1719)
- Xiaobo Liu (ORCID: https://orcid.org/0000-0001-8298-7715)
- Jian Wang (ORCID: https://orcid.org/0000-0003-2291-640X)
- Bin Wu (ORCID: https://orcid.org/0000-0003-1430-4382)
- Zhiqing Wu (ORCID: https://orcid.org/0009-0001-7240-0420)
Institutions
- Soochow University (CN)
Publication Details
- Journal
- Frontiers in Oncology
- Published
- 2025-03-11
- DOI
- https://doi.org/10.3389/fonc.2025.1508525
- Citations
- 1
- Primary Topic
- Obstructive Sleep Apnea Research
- Type
- article
- Field-Weighted Citation Impact
- 1.16