IVIM parameters mapping with artificial neural network based on mean deviation prior
The superior performance of IterANN demonstrates that updating the distribution of the train set based on MDP can effectively solve the OOD problem, which allows us not only to improve the accuracy and stability of the estimated IVIM parameters, but also to increase the potential of IVIM in disease diagnosis.
Authors
- Guodong Hu (ORCID: https://orcid.org/0000-0001-6770-0667)
- Ming Jun Zhong (ORCID: https://orcid.org/0000-0002-9132-3782)
- Chen Ye (ORCID: https://orcid.org/0000-0002-2555-1998)
- Lihui Wang (ORCID: https://orcid.org/0000-0002-3558-5112)
- Junpeng Qin
- Chao Lei (ORCID: https://orcid.org/0000-0002-0763-2508)
Institutions
- Guizhou University (CN)
- Guizhou Provincial People's Hospital (CN)
Publication Details
- Journal
- Medical Physics
- Published
- 2024-09-06
- DOI
- https://doi.org/10.1002/mp.17383
- Citations
- 1
- Primary Topic
- MRI in cancer diagnosis
- Type
- article
- Field-Weighted Citation Impact
- 0.40
Funders
- National Natural Science Foundation of China