Development and validation of a deep learning pipeline to diagnose ovarian masses using ultrasound screening: a retrospective multicenter study
This work was supported by the National Natural Science Foundation of China (Grant Nos. 12090020, 82071929, and 12090025) and the R&D project of the Pazhou Lab (Huangpu) (Grant No. 2023K0605).
Authors
- Litao Sun (ORCID: https://orcid.org/0000-0002-4724-0971)
- Mengmeng Zhu (ORCID: https://orcid.org/0000-0002-5161-813X)
- Yating Ling (ORCID: https://orcid.org/0000-0002-9773-4427)
- Shuang Dong
- Dexing Kong (ORCID: https://orcid.org/0000-0001-9339-8086)
- Song Xu (ORCID: https://orcid.org/0000-0001-6153-387X)
- Wenli Dai (ORCID: https://orcid.org/0000-0002-7757-231X)
- Lei Wu (ORCID: https://orcid.org/0000-0003-3779-3852)
- Jing Zhao (ORCID: https://orcid.org/0000-0003-4945-2457)
- Li‐ping Gong
- Yingnan Wu (ORCID: https://orcid.org/0000-0003-4349-9879)
- Zongjing Gu (ORCID: https://orcid.org/0000-0001-9532-6078)
- Shuang Zhang (ORCID: https://orcid.org/0000-0003-4927-7230)
Institutions
- Harbin Medical University (CN)
- Maternal and Child Health Hospital of Sichuan Province (CN)
- Fuling Center Hospital of Chongqing (CN)
- Zhejiang Provincial People's Hospital (CN)
- Second Affiliated Hospital of Harbin Medical University (CN)
- Second Affiliated Hospital of Zhejiang University (CN)
- Hangzhou Medical College (CN)
- Zhejiang University (CN)
Publication Details
- Journal
- EClinicalMedicine
- Published
- 2024-11-19
- DOI
- https://doi.org/10.1016/j.eclinm.2024.102923
- Citations
- 8
- Primary Topic
- Ovarian cancer diagnosis and treatment
- Type
- article
- Field-Weighted Citation Impact
- 4.30
Funders
- National Natural Science Foundation of China