Multimodal Data-driven Segmentation of Bone Metastasis Lesions in SPECT Bone Scans using Deep Learning
The proposed multimodal data-driven method effectively identifies and isolates metastasis lesions in SPECT bone scans, outperforming existing classical deep learning models. This study demonstrates the value of incorporating textual data in the deep learning-based segmentation of lowresolution SPECT bone scans.
Authors
- Yang He (ORCID: https://orcid.org/0000-0002-4952-6877)
- Zhengxing Man
- Xianwu Zeng
- Xiaodi Huang (ORCID: https://orcid.org/0000-0002-6084-1851)
- Qiang Lin (ORCID: https://orcid.org/0000-0002-3842-2634)
- Y.S. Song
- Yongchun Cao (ORCID: https://orcid.org/0009-0003-1729-288X)
- Caihong Liu (ORCID: https://orcid.org/0009-0008-5287-4064)
- Xiaoqiang Ma
- Sihan Guo
Institutions
- Minzu University of China (CN)
- Charles Sturt University (AU)
- Gansu Provincial Hospital (CN)
Publication Details
- Journal
- Current Medical Imaging Formerly Current Medical Imaging Reviews
- Published
- 2024-09-19
- DOI
- https://doi.org/10.2174/0115734056324977240911073841
- Citations
- 3
- Primary Topic
- Medical Imaging Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 1.21