Automatic Detection of Cardiac Ejection Rate in Left Ventricular Photography Using Deep Learning-Reference-Cited by-同舟云学术

Automatic Detection of Cardiac Ejection Rate in Left Ventricular Photography Using Deep Learning

Published:2022-05-27 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE 4th Eurasia Conference on Biomedical Engineering, Healthcare and Sustainability (ECBIOS)
language:
Short-container-title:

Author:

Lin Wenyuan¹,Hu Hsiang-Wei¹,Tung Nai-Yun¹,Huang Ren-Syuan²,Lin Wei-Ming³,Hu You-Ming¹,Huang Sheng-Yao¹,Kao Shin-Yu⁴,Lee Chun-Yi⁵,Shih Shao-Ni⁶,Wu Chin-Yu⁷,Chang Wei-Ting⁷

Affiliation:

1. International Academia of Biomedical Innovation Technology,Taipei,Taiwan

2. National Central University,Department of Economics,Taoyuan,Taiwan

3. International Academia of Biomedical Innovation,Technology,Taipei

4. Hualien Tzu Chi General Hospital,Department of Radiation Oncology,Hualien,Taiwan

5. Taipei Medical University,Depaertment of Biomedical Informatics,Taipei,Taiwan

6. National Tsing Hua University,Department of Computer Science,Hsinchu,Taiwan

7. National Tsing Hua University,Department of Chinese Literature,Hsinchu,Taiwan

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9944984/9944985/09944995.pdf?arnumber=9944995

Reference8 articles.

1. Deep learning based data-adaptive descriptor for non-rigid multi-modal medical image registration

2. Left Ventricular Ejection Fraction Assessment by Emergency Physician-Performed Bedside Echocardiography: A Prospective Comparative Evaluation of Multiple Modalities

3. Multi-level dilated residual network for biomedical image segmentation

4. COVID-DeepNet: Hybrid Multimodal Deep Learning System for Improving COVID-19 Pneumonia Detection in Chest X-ray Images

5. Left ventricular end‐systolic volume response post‐stress echocardiography: Dilation as a marker of multi‐vessel coronary artery disease