Deep learning-based recognition and segmentation of intracranial aneurysms under small sample size
The manual identification and segmentation of intracranial aneurysms (IAs) involved in the 3D reconstruction procedure are labor-intensive and prone to human errors. To meet the demands for routine clinical management and large cohort studies of IAs, fast and accurate patient-specific IA reconstruct...
Saved in:
Main Authors: | Zhu, Guangyu, Luo, Xueqi, Yang, Tingting, Cai, Li, Yeo, Joon Hock, Yan, Ge, Yang, Jian |
---|---|
Other Authors: | School of Mechanical and Aerospace Engineering |
Format: | Article |
Language: | English |
Published: |
2023
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/169569 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
WEB in partially thrombosed intracranial aneurysms: A word of caution
by: Anil, G, et al.
Published: (2020) -
A benchmark study of convolutional neural networks in fully automatic segmentation of aortic root
by: Yang, Tingting, et al.
Published: (2023) -
Treatment of intracranial aneurysms by functional reconstruction of the parent artery: The Budapest experience with the pipeline embolization device
by: Szikora, I, et al.
Published: (2020) -
Intracranial germinoma with multiple lesions in unusual sites : a case report
by: Narida Chirakalwasan, et al.
Published: (2006) -
Suppurative intracranial complications of sinusitis in children
by: Kwang Ong, Y., et al.
Published: (2016)