Imaging-Based Deep Graph Neural Networks for Survival Analysis in Early Stage Lung Cancer Using CT: A Multicenter Study

Imaging-Based Deep Graph Neural Networks for Survival Analysis in Early Stage Lung Cancer Using CT: A Multicenter Study

BackgroundLung cancer is the leading cause of cancer-related mortality, and accurate prediction of patient survival can aid treatment planning and potentially improve outcomes. In this study, we proposed an automated system capable of lung segmentation and survival prediction using graph convolution...

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Bibliographic Details
Main Authors: Jie Lian, Yonghao Long, Fan Huang, Kei Shing Ng, Faith M. Y. Lee, David C. L. Lam, Benjamin X. L. Fang, Qi Dou, Varut Vardhanabhuti
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-07-01
Series:Frontiers in Oncology
Subjects:
lung cancer
graph convolutional networks
cox proportional-hazards
survival prediction
lung graph model
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2022.868186/full

Internet

https://www.frontiersin.org/articles/10.3389/fonc.2022.868186/full

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