Automatic diagnosis and measurement of intracranial aneurysms using deep learning in MRA raw images
In this study, a one-click, fully automatic deep learning model was developed for automatic IA diagnosis and size measurement based on 2D original images. It has the potential to significantly improve doctors' work efficiency and reduce patients' examination time, making it highly valuable in clinical practice.
Authors
- Qingning Yang
- Chencui Huang (ORCID: https://orcid.org/0000-0003-3307-6872)
- J. Q. Li (ORCID: https://orcid.org/0000-0003-3346-3469)
- Jingxu Xu (ORCID: https://orcid.org/0000-0003-1079-7378)
- Fengxi Chen (ORCID: https://orcid.org/0000-0002-1097-2036)
- Rong Zeng (ORCID: https://orcid.org/0000-0002-2728-7502)
- Junbang Feng
- Li Li (ORCID: https://orcid.org/0000-0002-7720-6731)
- Chuanming Li (ORCID: https://orcid.org/0000-0002-4006-9411)
Institutions
- Army Medical University (CN)
- Dalian Medical University (CN)
- Second Affiliated Hospital of Chongqing Medical University (CN)
- Southwest Hospital (CN)
- Chongqing Emergency Medical Center (CN)
- Center for High Pressure Science & Technology Advanced Research (CN)
- Chongqing Medical University (CN)
Publication Details
- Journal
- Frontiers in Neurology
- Published
- 2025-04-24
- DOI
- https://doi.org/10.3389/fneur.2025.1544571
- Citations
- 2
- Primary Topic
- Intracranial Aneurysms: Treatment and Complications
- Type
- article
- Field-Weighted Citation Impact
- 2.78
Funders
- Centre Scientifique et Technique du Bâtiment
- Fundamental Research Funds for the Central Universities