Ultrasound-based deep learning model as an assistant improves the diagnosis of ovarian tumors: a multicenter study
An ultrasound-based deep learning (DL) model was developed for ovarian tumors using multi-center patients. An image-based DL model was combined with a large language model to establish a diagnostic framework for ovarian tumor classification. Our DL model can improve the diagnosis of primary US doctors to the level of experts and might assist in surgical decision-making.
Authors
- Linlin Shen (ORCID: https://orcid.org/0000-0003-1420-0815)
- Shunlan Liu (ORCID: https://orcid.org/0000-0003-3237-6195)
- Guorong Lyu (ORCID: https://orcid.org/0000-0003-3123-1138)
- Xiuming Wu (ORCID: https://orcid.org/0000-0003-2644-1069)
- Dan Gao
- Yanli Wang (ORCID: https://orcid.org/0000-0001-7438-5001)
- Ping Li
- Jiansong Zhang (ORCID: https://orcid.org/0000-0001-9288-8665)
- Weina Zhang (ORCID: https://orcid.org/0000-0001-6859-7438)
- Xiali Wang (ORCID: https://orcid.org/0000-0001-7798-5029)
- Peizhong Liu
- Yifang He
- Min Gong
Institutions
- Huaqiao University (CN)
- Fujian Medical University (CN)
- Quanzhou Normal University (CN)
- Shenzhen University (CN)
- Dalian Medical University (CN)
- Quzhou City People's Hospital (CN)
- Third People's Hospital of Chengdu (CN)
- Quzhou College of Technology (CN)
- Zhangzhou Municipal Hospital of Fujian Province (CN)
- The 180th Hospital of PLA (CN)
- 175th Hospital of People's Liberation Army (CN)
- Second Affiliated Hospital of Fujian Medical University (CN)
- First Affiliated Hospital of Dalian Medical University (CN)
- Zhangzhou Vocational and Technical College (CN)
Publication Details
- Journal
- Insights into Imaging
- Published
- 2025-10-16
- DOI
- https://doi.org/10.1186/s13244-025-02112-4
- Citations
- 1
- Primary Topic
- Ovarian cancer diagnosis and treatment
- Type
- article
- Field-Weighted Citation Impact
- 1.70
Funders
- National Natural Science Foundation of China
- Fujian Medical University