Deep learning-based reconstruction: a reliability assessment in preoperative magnetic resonance imaging for primary rectal cancer
The DLR method improved the quality of the images, and had comparable diagnostic efficacy without additional scanning time to that of the ConR method, and thus could be a feasible option for replacing the ConR method in the preoperative MRI examination of primary rectal cancer.
Authors
- Jingwen Tan
- Bei Ding (ORCID: https://orcid.org/0000-0001-9646-9142)
- Jiankun Dai (ORCID: https://orcid.org/0000-0002-2461-6737)
- Huan Zhang (ORCID: https://orcid.org/0000-0002-3454-7464)
- Haipeng Dong
- Weiming Feng (ORCID: https://orcid.org/0000-0001-6799-3009)
- Lan Zhu
- Yihan Xia (ORCID: https://orcid.org/0000-0003-4678-0818)
Institutions
- Shanghai Jiao Tong University (CN)
- Ruijin Hospital (CN)
Publication Details
- Journal
- Quantitative Imaging in Medicine and Surgery
- Published
- 2024-12-01
- DOI
- https://doi.org/10.21037/qims-24-907
- Citations
- 5
- Primary Topic
- Colorectal Cancer Surgical Treatments
- Type
- article
- Field-Weighted Citation Impact
- 1.41
Funders
- National Natural Science Foundation of China