Real-time artificial intelligence-assisted detection and segmentation of nasopharyngeal carcinoma using multimodal endoscopic data: a multi-center, prospective study
This work was supported by National Key R&D Program of China (2020YFC1316903), the National Natural Science Foundation of China (NSFC) grants (81900918, 82020108009), Natural Science Foundation of Guangdong Province (2022A1515010002), Key-Area Research and Development of Guangdong Province (2023B1111040004, 2020B1111190001), and Key Clinical Technique of Guangzhou (2023P-ZD06).
Authors
- Wenbin Lei (ORCID: https://orcid.org/0000-0002-9720-1997)
- Weiping Wen (ORCID: https://orcid.org/0000-0002-1075-7475)
- Guan‐Qun Zhou (ORCID: https://orcid.org/0000-0002-7989-4224)
- Rui He (ORCID: https://orcid.org/0000-0002-8314-9155)
- Wanquan Liu (ORCID: https://orcid.org/0000-0003-4910-353X)
- Pengyu Jie
- Wen Yi-hui
- Shumei Wu (ORCID: https://orcid.org/0000-0002-6195-4911)
- Y. F. Long (ORCID: https://orcid.org/0000-0001-6346-7546)
- Weijian Hou
Institutions
- Sun Yat-sen University (CN)
- Shenzhen University (CN)
- The Seventh Affiliated Hospital of Sun Yat-sen University (CN)
- The First Affiliated Hospital, Sun Yat-sen University (CN)
- Kiang Wu Hospital (CN)
- Sun Yat-sen University Cancer Center (CN)
Publication Details
- Journal
- EClinicalMedicine
- Published
- 2025-02-15
- DOI
- https://doi.org/10.1016/j.eclinm.2025.103120
- Citations
- 9
- Primary Topic
- Head and Neck Cancer Studies
- Type
- article
- Field-Weighted Citation Impact
- 16.63
Funders
- National Natural Science Foundation of China
- Natural Science Foundation of Guangdong Province