Published on in Vol 10 , No 3 (2022) :March

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/28880, first published .
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

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 , CN

2 College of Computer Science , Sichuan University , Chengdu , CN

3 School of Science and Engineering , The Chinese University of Hong Kong , Shenzhen , CN

4 School of Automation , Nanjing University of Information Science and Technology , Nanjing , CN

*these authors contributed equally

Corresponding Author:

  • ChaoHua Wang, MD
  • Department of Neurosurgery
  • West China Hospital
  • Sichuan University
  • No. 37 Guoxue Lane, Wuhou District
  • Chengdu
  • CN
  • Phone: 86 18628169123
  • Email: wangchaohuaHX@163.com