Application of machine learning for the differentiation of thymomas and thymic cysts using deep transfer learning: A multi‐center comparison of diagnostic performance based on different dimensional models
The DTL model based on multiple different dimensions can be used as a highly sensitive and specific tool for the non-invasive differential diagnosis of thymomas and thymic cysts to assist clinicians in decision-making.
Authors
- Can Cui (ORCID: https://orcid.org/0000-0003-1139-0182)
- Yuhua Yang (ORCID: https://orcid.org/0000-0002-8880-0525)
- Minjing Zuo (ORCID: https://orcid.org/0000-0003-0479-7080)
- Liang Chen
- Shaoqiang Liu (ORCID: https://orcid.org/0000-0001-8379-2688)
- Jia Cheng
Institutions
- Jiujiang University (CN)
- Nanchang University (CN)
- Second Affiliated Hospital of Nanchang University (CN)
- First Affiliated Hospital of Gannan Medical University (CN)
Publication Details
- Journal
- Thoracic Cancer
- Published
- 2024-09-20
- DOI
- https://doi.org/10.1111/1759-7714.15454
- Citations
- 5
- Primary Topic
- Myasthenia Gravis and Thymoma
- Type
- article
- Field-Weighted Citation Impact
- 1.85