Differential diagnosis between low-risk and high-risk thymoma: Comparison of diagnostic performance of radiologists with and without deep learning model
Diagnostic performance of the DL was comparable to that of radiologists. The DL model assistance tended to increase diagnostic accuracy.
Authors
- Tomo Miyata
- Noriyuki Tomiyama (ORCID: https://orcid.org/0000-0001-9918-7327)
- Yukihisa Sato (ORCID: https://orcid.org/0000-0001-6212-7865)
- Yuriko Yoshida (ORCID: https://orcid.org/0009-0009-3671-8376)
- Akinori Hata (ORCID: https://orcid.org/0000-0003-1149-7094)
- Masahiro Yanagawa (ORCID: https://orcid.org/0000-0002-0911-6769)
- Atsushi Kawata
Institutions
- Sakai Municipal Hospital (JP)
- Suita Municipal Hospital (JP)
- Osaka International Cancer Institute (JP)
- The University of Osaka (JP)
Publication Details
- Journal
- Acta Radiologica Open
- Published
- 2024-10-01
- DOI
- https://doi.org/10.1177/20584601241288509
- Citations
- 2
- Primary Topic
- Myasthenia Gravis and Thymoma
- Type
- article
- Field-Weighted Citation Impact
- 0.74