Development of a Novel Combined Nomogram Model Integrating Deep Learning-Pathomics, Radiomics, and TLS Score  to Predict the Risk of Liver Metastasis in Colorectal Cancer Patients

Jinglei Xue; Wei Chen; Qianqian Mao; Jing Yu; Xiaochun Gu

doi:10.54254/2755-2721/2025.21690

Article Information

Received: 21 March 2025

Published: 28 March 2025

DOI: https://doi.org/10.54254/2755-2721/2025.21690

Article Type: Research Article

Cite this article

Xue,J.;Chen,W.;Mao,Q.;Yu,J.;Gu,X. (2025). Development of a Novel Combined Nomogram Model Integrating Deep Learning-Pathomics, Radiomics, and TLS Score to Predict the Risk of Liver Metastasis in Colorectal Cancer Patients. Applied and Computational Engineering,119,30-37.

Data availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

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About this Volume

Volume Title: ACE Vol.119

Part of Series: Applied and Computational Engineering

ISSN: 2755-2721 (Print) / 2755-273X (Online)

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