Bone metastasis scintigram generation using generative adversarial learning with multi‐receptive field learning and two‐stage training
The proposed BMS-Gen model can be used as a promising tool for augmenting the data of bone scintigrams, greatly facilitating the development of deep learning-based automated analysis of SPECT bone scintigrams.
Authors
- Zhengxing Man
- An Xie
- Xianwu Zeng
- Xiaodi Huang (ORCID: https://orcid.org/0000-0002-6084-1851)
- Qiang Lin (ORCID: https://orcid.org/0000-0002-3842-2634)
- Yongchun Cao (ORCID: https://orcid.org/0009-0003-1729-288X)
- Caihong Liu (ORCID: https://orcid.org/0009-0008-5287-4064)
- Yusheng Hao
Institutions
- Minzu University of China (CN)
- Charles Sturt University (AU)
- Gansu Provincial Hospital (CN)
Publication Details
- Journal
- Medical Physics
- Published
- 2024-09-03
- DOI
- https://doi.org/10.1002/mp.17368
- Citations
- 5
- Primary Topic
- Medical Imaging Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 2.02
Funders
- National Natural Science Foundation of China
- Natural Science Foundation of Gansu Province
- Fundamental Research Funds for the Central Universities