Assessment of the stability of intracranial aneurysms using a deep learning model based on computed tomography angiography
The CNN-based DLM, which integrates clinical, morphological and DL features, outperforms other models in predicting IA stability. The DLM has the potential to assess IA stability and support clinical decision-making.
Authors
- Guang-Xian Wang
- Chencui Huang (ORCID: https://orcid.org/0000-0003-3307-6872)
- Jing-Xu Xu
- Wen Li (ORCID: https://orcid.org/0000-0002-7538-5422)
- Dong Zhang (ORCID: https://orcid.org/0000-0002-0801-4971)
- Yang Jing
- Lu Zeng
Institutions
- Army Medical University (CN)
- Xinqiao Hospital (CN)
- Chongqing Emergency Medical Center (CN)
- Center for High Pressure Science & Technology Advanced Research (CN)
- Chongqing Medical University (CN)
Publication Details
- Journal
- La radiologia medica
- Published
- 2024-12-12
- DOI
- https://doi.org/10.1007/s11547-024-01939-z
- Citations
- 3
- Primary Topic
- Intracranial Aneurysms: Treatment and Complications
- Type
- article
- Field-Weighted Citation Impact
- 1.11
Funders
- Chongqing Municipal Education Commission
- Centre Scientifique et Technique du Bâtiment