Exploring the feasibility of FOCUS DWI with deep learning reconstruction for breast cancer diagnosis: A comparative study with conventional DWI
Our findings indicate that images produced by FOCUS-DLR DWI were superior to conventional DWI, supporting the applicability of this technique in clinical practice. DLR provides a new approach to optimize breast DWI.
Authors
- Juan Huang (ORCID: https://orcid.org/0000-0003-2901-7175)
- Fan Yang (ORCID: https://orcid.org/0000-0002-4323-2560)
- Xun Yue (ORCID: https://orcid.org/0000-0003-2539-4811)
- Huilou Liang (ORCID: https://orcid.org/0000-0002-6289-2767)
- Pengfei Peng (ORCID: https://orcid.org/0000-0001-8381-551X)
- Huiyi Yang (ORCID: https://orcid.org/0000-0002-2825-3750)
- Jiayu Sun (ORCID: https://orcid.org/0000-0002-0920-5948)
- Qian Pu (ORCID: https://orcid.org/0000-0001-8527-1026)
- Yue Ming
- Bo Zhang (ORCID: https://orcid.org/0009-0000-7452-5510)
- Yitian Xiao
- Shuting Yue
Institutions
- Sichuan University (CN)
- West China Hospital of Sichuan University (CN)
- Affiliated Hospital of North Sichuan Medical College (CN)
Publication Details
- Journal
- PLoS ONE
- Published
- 2024-10-31
- DOI
- https://doi.org/10.1371/journal.pone.0313011
- Citations
- 2
- Primary Topic
- MRI in cancer diagnosis
- Type
- article
- Field-Weighted Citation Impact
- 0.81