A novel skeletal muscle quantitative method and deep learning‐based sarcopenia diagnosis for cervical cancer patients treated with radiotherapy
The SMI quantitative measurement using CBCT for cervical cancer patients is feasible. And the DL network has the potential to assist in the sarcopenia diagnosis using CBCT images.
Authors
- Mujun Liu (ORCID: https://orcid.org/0000-0001-8948-2429)
- Zhe Wu (ORCID: https://orcid.org/0000-0001-5191-0248)
- Li Liu (ORCID: https://orcid.org/0000-0003-3022-936X)
- Xinwei Li (ORCID: https://orcid.org/0000-0003-0713-9366)
- Xu Cheng (ORCID: https://orcid.org/0000-0001-5611-4689)
- Bin Zeng
- Lihua Deng
- Wanyang Wu
Institutions
- Army Medical University (CN)
- Beijing Luhe Hospital Affiliated to Capital Medical University (CN)
- Zigong First People's Hospital (CN)
- Yueyang Changling Equipment Research Institute (China) (CN)
- Northeastern University (CN)
Publication Details
- Journal
- Medical Physics
- Published
- 2025-04-01
- DOI
- https://doi.org/10.1002/mp.17791
- Citations
- 1
- Primary Topic
- Nutrition and Health in Aging
- Type
- article
- Field-Weighted Citation Impact
- 1.16
Funders
- National Natural Science Foundation of China
- Centre Scientifique et Technique du Bâtiment