Building a Risk Prediction Model for Postoperative Pulmonary Vein Obstruction via Quantitative Analysis of CTA Images-Reference-Cited by-同舟云学术

Building a Risk Prediction Model for Postoperative Pulmonary Vein Obstruction via Quantitative Analysis of CTA Images

Published:2022-07 Issue:7 Volume:26 Page:3127-3138
ISSN:2168-2194
Container-title:IEEE Journal of Biomedical and Health Informatics
language:
Short-container-title:IEEE J. Biomed. Health Inform.

Author:

Pei Yuchen¹^ORCID,Shi Guocheng²,Xia Wenjin¹,Wen Chen²^ORCID,Sun Dazhen¹,Zhu Fang²^ORCID,Li Jiang¹,Zhu Zhongqun²,Liu Xiaoqing³,Huang Meiping⁴,Wang Yu-Ping⁵^ORCID,Chen Huiwen²,Wang Lisheng¹^ORCID

Affiliation:

1. Department of Automation, Shanghai Jiao Tong University, Shanghai, China

2. Department of Cardiothoracic Surgery, Congenital Heart Center, Shanghai Children’s Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China

3. Deepwise AI Lab, Beijing, China

4. Department of Catheterization Lab, Guangdong Cardiovascular Institute, Guangdong Provincial Key Laboratory of South China Structural Heart Disease, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China

5. Biomedical Engineering Department, Tulane University, New Orleans, LA, USA

Funder

National Natural Science Foundation of China

School of Medicine, Shanghai Jiao Tong University

Shanghai Municipal Science and Technology Major Project

Shanghai Jiao Tong University Translational Medicine Cross Research Funds

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Health Information Management,Electrical and Electronic Engineering,Computer Science Applications,Health Informatics

Link

http://xplorestaging.ieee.org/ielx7/6221020/9813470/09695351.pdf?arnumber=9695351

Reference43 articles.

1. A Radiomics Nomogram for the Preoperative Prediction of Lymph Node Metastasis in Bladder Cancer

2. An Introduction to Feature Selection

3. A Threshold Selection Method from Gray-Level Histograms

4. A model of saliency-based visual attention for rapid scene analysis

5. Automatic Pulmonary Vein and Left Atrium Segmentation for TAPVC Preoperative Evaluation Using V-Net with Grouped Attention

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