Using a Convolutional Neural Network and Convolutional Long Short-term Memory to Automatically Detect Aneurysms on 2D Digital Subtraction Angiography Images: Framework Development and Validation
Using a Convolutional Neural Network and Convolutional Long Short-term Memory to Automatically Detect Aneurysms on 2D Digital Subtraction Angiography Images: Framework Development and Validation
JunHua Liao
1, 2
* , BSc ;
LunXin Liu
1
* , MD ;
HaiHan Duan
3
, MSc ;
YunZhi Huang
4
, PhD ;
LiangXue Zhou
1
, MD ;
LiangYin Chen
2
, PhD ;
ChaoHua Wang
1
, MD
1
Department of Neurosurgery, West China Hospital, Sichuan University, Chengdu, China
2
College of Computer Science, Sichuan University, Chengdu, China
3
School of Science and Engineering, The Chinese University of Hong Kong, Shenzhen, China
4
School of Automation, Nanjing University of Information Science and Technology, Nanjing, China
*these authors contributed equally
Corresponding Author:
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ChaoHua Wang, MD
-
Department of Neurosurgery
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West China Hospital
-
Sichuan University
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No. 37 Guoxue Lane, Wuhou District
-
Chengdu, 610041
-
China
-
Phone:
86 18628169123
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Email: wangchaohuaHX@163.com