DCCAFN: deep convolution cascade attention fusion network based on imaging genomics for prediction survival analysis of lung cancer

DCCAFN: deep convolution cascade attention fusion network based on imaging genomics for prediction survival analysis of lung cancer

Abstract Recently, lung cancer prediction based on imaging genomics has attracted great attention. However, such studies often have many challenges, such as small sample size, high-dimensional information redundancy, and the inefficiency of multimodal fusion. Therefore, in this paper, a deep convolu...

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Bibliographic Details
Main Authors: Liye Jia, Xueting Ren, Wei Wu, Juanjuan Zhao, Yan Qiang, Qianqian Yang
Format: Article
Language:English
Published: Springer 2023-08-01
Series:Complex & Intelligent Systems
Subjects:
Imaging genomics
Deep features
Convolution cascade
Attention fusion
Survival prediction
Online Access:https://doi.org/10.1007/s40747-023-01204-2

Internet

https://doi.org/10.1007/s40747-023-01204-2

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