Deep learning-based recognition and segmentation of intracranial aneurysms under small sample size.
- DOI
- 10.3389/fphys.2022.1084202
- Published
- 2022
- Container
- Frontiers in physiology
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.3389/fphys.2022.1084202,
title = {Deep learning-based recognition and segmentation of intracranial aneurysms under small sample size.},
author = {Zhu G and Luo X and Yang T and Cai L and Yeo JH and Yan G and Yang J},
year = {2022},
journal = {Frontiers in physiology},
doi = {10.3389/fphys.2022.1084202},
url = {https://doi.org/10.3389/fphys.2022.1084202}
}RIS
TY - JOUR TI - Deep learning-based recognition and segmentation of intracranial aneurysms under small sample size. AU - Zhu G AU - Luo X AU - Yang T AU - Cai L AU - Yeo JH AU - Yan G AU - Yang J PY - 2022 JO - Frontiers in physiology DO - 10.3389/fphys.2022.1084202 UR - https://doi.org/10.3389/fphys.2022.1084202 ER -
APA
G, Z., X, L., T, Y., L, C., JH, Y., G, Y., & J, Y. (2022). Deep learning-based recognition and segmentation of intracranial aneurysms under small sample size.. Frontiers in physiology. https://doi.org/10.3389/fphys.2022.1084202
Source records
- pubmed · retrieved 2026-09-25T02:53:32.617Z
- europe-pmc · retrieved 2026-09-25T02:53:32.661Z