CTA-based deep-learning integrated model for identifying irregular shape and aneurysm size of unruptured intracranial aneurysms
This study provided a deep-learning model based on CTA for irregular shape classification and size measurement of UIAs with high accuracy and external validity. The model can be used to improve reader performance.
Authors
- Yi Yang (ORCID: https://orcid.org/0000-0002-5808-0109)
- Michael R. Levitt (ORCID: https://orcid.org/0000-0003-3612-3347)
- Peng Jiang (ORCID: https://orcid.org/0000-0003-3647-8500)
- Ke Tian (ORCID: https://orcid.org/0000-0002-6784-5820)
- Yuanqing Xia (ORCID: https://orcid.org/0000-0002-5977-4911)
- Jinhao Zhang (ORCID: https://orcid.org/0000-0002-3661-1845)
- Di‐Hua Zhai (ORCID: https://orcid.org/0000-0001-8653-8626)
- Mahmud Mossa‐Basha (ORCID: https://orcid.org/0000-0001-7798-8158)
- Peng Liu (ORCID: https://orcid.org/0000-0002-1849-9634)
- Yan Liu (ORCID: https://orcid.org/0000-0003-4242-4840)
- Hongwei He (ORCID: https://orcid.org/0000-0001-6042-7629)
- Chengcheng Zhu (ORCID: https://orcid.org/0000-0001-6898-549X)
- Qingyuan Liu (ORCID: https://orcid.org/0009-0008-6284-2963)
- Zhengwei Li (ORCID: https://orcid.org/0000-0003-1644-1006)
- Danyang Liu (ORCID: https://orcid.org/0000-0002-8990-8511)
- Chang Zhao (ORCID: https://orcid.org/0009-0002-2920-6873)
- Chao Cao (ORCID: https://orcid.org/0000-0002-4192-7641)
Institutions
- Beijing Institute of Technology (CN)
- Capital Medical University (CN)
- University of Washington (US)
- Beijing Tian Tan Hospital (CN)
- Beijing Institute of Neurosurgery (CN)
- Neurological Surgery (US)
Publication Details
- Journal
- Journal of NeuroInterventional Surgery
- Published
- 2025-02-20
- DOI
- https://doi.org/10.1136/jnis-2024-022784
- Citations
- 1
- Primary Topic
- Intracranial Aneurysms: Treatment and Complications
- Type
- article
- Field-Weighted Citation Impact
- 1.39
Funders
- Beijing Municipal Natural Science Foundation