Immunotherapy Efficacy Prediction for Non-Small Cell Lung Cancer Using Multi-View Adaptive Weighted Graph Convolutional Networks-Reference-Cited by-同舟云学术

Immunotherapy Efficacy Prediction for Non-Small Cell Lung Cancer Using Multi-View Adaptive Weighted Graph Convolutional Networks

Published:2023-11 Issue:11 Volume:27 Page:5564-5575
ISSN:2168-2194
Container-title:IEEE Journal of Biomedical and Health Informatics
language:
Short-container-title:IEEE J. Biomed. Health Inform.

Author:

Wu Qiong¹^ORCID,Wang Jun¹^ORCID,Sun Zongqiong²,Xiao Lei³^ORCID,Ying Wenhao⁴^ORCID,Shi Jun¹^ORCID

Affiliation:

1. Key Laboratory of Specialty Fiber Optics and Optical Access Networks, the Joint International Research Laboratory of Specialty Fiber Optics and Advanced Communication, Shanghai Institute for Advanced Communication and Data Science, School of Communication and Information Engineering, Shanghai University, Shanghai, China

2. Department of Radiology, Affiliated Hospital of Jiangnan University, Wuxi, Jiangsu, China

3. College of Computer Science and Artificial Intelligence, Wenzhou University, Wenzhou, Zhejiang, China

4. School of Computer Science and Engineering, Changshu Institute of Technology, Suzhou, Jiangsu, China

Funder

National Natural Science Foundation of China

Science and Technology Commission of Shanghai Municipality

Higher Education Discipline Innovation Project

Wenzhou Natural Science Foundation

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/ielx7/6221020/10311342/10234092.pdf?arnumber=10234092

Reference57 articles.

1. Combination of computed tomography imaging-based radiomics and clinicopathological characteristics for predicting the clinical benefits of immune checkpoint inhibitors in lung cancer

2. A Comprehensive Analysis of Programmed Cell Death Ligand-1 Expression With the Clone SP142 Antibody in Non–Small-Cell Lung Cancer Patients

3. Radiomic biomarkers from PET/CT multi-modality fusion images for the prediction of immunotherapy response in advanced non-small cell lung cancer patients

4. Clinical Significance of PD-L1 Protein Expression in Surgically Resected Primary Lung Adenocarcinoma

5. Computational Radiomics System to Decode the Radiographic Phenotype

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