Deep learning-assisted identification and quantification of aneurysmal subarachnoid hemorrhage in non-contrast CT scans: Development and external validation of Hybrid 2D/3D UNet-Reference-Cited by-同舟云学术

Deep learning-assisted identification and quantification of aneurysmal subarachnoid hemorrhage in non-contrast CT scans: Development and external validation of Hybrid 2D/3D UNet

Published:2023-10 Issue: Volume:279 Page:120321
ISSN:1053-8119
Container-title:NeuroImage
language:en
Short-container-title:NeuroImage

Author:

Hu Ping,Zhou Haizhu,Yan Tengfeng,Miu Hongping,Xiao Feng,Zhu Xinyi,Shu Lei,Yang Shuang,Jin Ruiyun,Dou Wenlei,Ren Baoyu,Zhu Lizhen,Liu Wanrong,Zhang Yihan,Zeng Kaisheng,Ye Minhua,Lv Shigang,Wu Miaojing,Deng Gang,Hu Rong,Zhan Renya,Chen Qianxue,Zhang Dong,Zhu Xingen^ORCID

Publisher

Elsevier BV

Subject

Cognitive Neuroscience,Neurology

Reference44 articles.

1. Digital health, big data and smart technologies for the care of patients with systemic autoimmune diseases: where do we stand?;Bergier;Autoimmun. Rev.,2021

2. ECR 2022 book of abstracts;Brossard;Insights Imaging,2022

3. Hybrid 3D/2D convolutional neural network for hemorrhage evaluation on head CT;Chang;AJNR,2018

4. Improving sensitivity on identification and delineation of intracranial hemorrhage lesion using cascaded deep learning models;Cho;J. Digit. Imaging,2019

5. 3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation;Çiçek,2016

Cited by 7 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Quantifying irregular pulsation of intracranial aneurysms using 4D-CTA;Journal of Biomechanics;2024-09

2. Composite acoustic hole segmentation by semi-supervised learning for robotic multi-spindle drilling of aero-engine nacelle acoustic liners;Composites Part A: Applied Science and Manufacturing;2024-09

3. SAHVAI-3D and 4D: A New, Automated Subarachnoid Hemorrhage Volumetric Artificial Intelligence (SAHVAI) Measurement Approach Using Non-Contrast Head CT Scans;2024-08-30

4. A comprehensive review and experimental comparison of deep learning methods for automated hemorrhage detection;Engineering Applications of Artificial Intelligence;2024-07

5. Automated segmentation of ventricular volumes and subarachnoid hemorrhage from computed tomography images: Evaluation of a rule-based pipeline approach;The Neuroradiology Journal;2024-06-13