An interpretable integration model improving disease-free survival prediction for gastric cancer based on CT images and clinical parameters
X. Cen, C. Hu, L. Yuan, X. Cheng, W. Dong, R. Zhou, Y. Wang, J. Zou, T. Lu, H. Yang, Y. Tong
This paper proposes a model integrating deep features, radiomics features, and clinical parameters to improve gastric cancer disease-free survival prediction, achieving a 3%-5% C-index and 10% AUC improvement.
bioRxiv · Apr 1, 2024 · PreprintCancer Biology