Leveraging deep learning for early detection of cervical cancer and dysplasia in China using U-NET++ and RepVGG networks
The integration of deep learning into colposcopic image analysis marks a significant advancement in early cervical cancer detection. The study suggests that AI-driven diagnostic tools can significantly improve screening accuracy. Reducing reliance on human interpretation minimizes variability and enhances efficiency. In rural and underserved areas, the deployment of AI-based solutions could be transformative, potentially reducing cervical cancer incidence and mortality. With further refinement, these models could be adapted for broader population screening, aiding global efforts to eliminate cervical cancer as a public health threat.
Authors
- Guoliu Ye (ORCID: https://orcid.org/0000-0003-4634-7942)
- Lijuan Lu (ORCID: https://orcid.org/0000-0003-2479-4266)
- Zhangdaihong Liu (ORCID: https://orcid.org/0000-0003-2142-477X)
- Sicong Ma (ORCID: https://orcid.org/0000-0001-5894-5910)
- Qun Hu (ORCID: https://orcid.org/0009-0007-9884-5333)
- Taotao Rong
- Guannan Bai (ORCID: https://orcid.org/0000-0003-0619-7580)
- Hang Xu (ORCID: https://orcid.org/0000-0002-2887-6587)
- Jie Wei (ORCID: https://orcid.org/0000-0002-7280-2059)
- Luyao Wang (ORCID: https://orcid.org/0000-0001-6470-5059)
- Li Liu (ORCID: https://orcid.org/0000-0003-2314-8756)
- Lulu Chen (ORCID: https://orcid.org/0000-0001-9621-9231)
- Aimin Xu
- Peng Luo (ORCID: https://orcid.org/0000-0001-5800-8783)
- Jian Wang (ORCID: https://orcid.org/0000-0001-9739-3434)
- Changqi Sun
- Baoqing Li
- Lin Zhang (ORCID: https://orcid.org/0000-0002-2064-8440)
Institutions
- Jiangnan University (CN)
- The University of Sydney (AU)
- Zhejiang Wanli University (CN)
- Wenzhou Medical University (CN)
- First Affiliated Hospital of Wenzhou Medical University (CN)
- Soochow University (CN)
- Jiangyin People's Hospital (CN)
- Children's Hospital of Zhejiang University (CN)
- Suzhou Vocational Institute of Industrial Technology (CN)
- Wuxi Fourth People's Hospital (CN)
- Zhujiang Hospital (CN)
- Monash Health (AU)
- Suzhou Research Institute (CN)
- Science Oxford (GB)
- First Affiliated Hospital of Bengbu Medical College (CN)
- Monash University (AU)
Publication Details
- Journal
- Frontiers in Oncology
- Published
- 2025-09-12
- DOI
- https://doi.org/10.3389/fonc.2025.1624111
- Primary Topic
- Cervical Cancer and HPV Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00