您当前的位置：
首页 >
文章列表页 >
Prediction of Pulmonary Nodule Progression Based on Multi-modal Data Fusion of CCNet-DGNN Model
更新时间：2025-12-04

    • Prediction of Pulmonary Nodule Progression Based on Multi-modal Data Fusion of CCNet-DGNN Model

      增强出版
    • “This study constructed and validated a multimodal data model that integrates clinical evaluation information from traditional Chinese and Western medicine with lung CT images, accurately predicting the progression of lung nodules and providing decision support for intelligent screening of high-risk lung cancer populations.”
    • Chinese Journal of Experimental Traditional Medical Formulae   Vol. 31, Issue 24, Pages: 135-143(2025)

    • DOI：10.13422/j.cnki.syfjx.20251565    

      CLC： R241;S431.3;R563

    • Received：12 February 2025，

      Revised：2025-04-08，

      Accepted：06 May 2025，

      Published Online：21 April 2025，

      Published：20 December 2025

    移动端阅览

  • YU Lehua,PENG Yehui,YANG Wei,et al.Prediction of Pulmonary Nodule Progression Based on Multi-modal Data Fusion of CCNet-DGNN Model[J].Chinese Journal of Experimental Traditional Medical Formulae,2025,31(24):135-143. DOI： 10.13422/j.cnki.syfjx.20251565.

  •  
  •  

0

Views

55

下载量

0

CSCD

Alert me when the article has been cited
提交
Tools
Download
Export Citation
Share
Add to favorites
Add to my album

Related Articles

Construction and Verification of An Integrated Traditional Chinese and Western Medicine Model for Predicting Malignant Risk of Pulmonary Nodules

Related Author

XIAO Jingmin
WU Lei
CHEN Yuanbing
YANG Qian

Related Institution

State Key Laboratory of Traditional Chinese Medicine Syndrome，The Second Clinical Medical College of Guangzhou University of Chinese Medicine
0