Tissue classification from raw diffusion‐weighted images using machine learning
MODEM is useful for cervical cancer detection and staging and offers considerable advantages over analytical diffusion models for tissue characterization.
Authors
- Zheng Zhong (ORCID: https://orcid.org/0000-0002-0162-5964)
- Guangyu Dan (ORCID: https://orcid.org/0000-0003-0427-5661)
- Ping‐Shou Zhong
- Daoyu Hu (ORCID: https://orcid.org/0000-0001-9281-8552)
- Xiaohong Joe Zhou (ORCID: https://orcid.org/0000-0003-0793-4925)
- Kaibao Sun (ORCID: https://orcid.org/0000-0001-6923-5914)
- Cui Feng (ORCID: https://orcid.org/0000-0001-9719-8436)
- Zhen Li (ORCID: https://orcid.org/0000-0002-0001-2998)
Institutions
- University of Illinois Urbana-Champaign (US)
- University of Illinois Chicago (US)
- Resonance Research (United States) (US)
- Tongji Hospital (CN)
- Huazhong University of Science and Technology (CN)
Publication Details
- Journal
- Medical Physics
- Published
- 2025-04-08
- DOI
- https://doi.org/10.1002/mp.17810
- Primary Topic
- Advanced Neuroimaging Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00