Computed tomography-based deep learning radiomics model for preoperative prediction of tumor immune microenvironment in colorectal cancer

CT-based DL radiomics provides a reliable non-invasive method for preoperative TIME evaluation, enabling personalized immunotherapy strategies in CRC management.

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Publication Details

Journal
World Journal of Gastrointestinal Oncology
Published
2025-05-15
DOI
https://doi.org/10.4251/wjgo.v17.i5.106103
Citations
2
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
Field-Weighted Citation Impact
2.72
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article

Computed tomography-based deep learning radiomics model for preoperative prediction of tumor immune microenvironment in colorectal cancer

Mingxu Da, Chuan Zhou, Yunfeng Zhang, Yuqian Huang et al.
2 citations
World Journal of Gastrointestinal Oncology
Radiomics and Machine Learning in Medical Imaging
2.72
article

Computed tomography-based deep learning radiomics model for preoperative prediction of tumor immune microenvironment in colorectal cancer

Mingxu Da, Chuan Zhou, Yunfeng Zhang, Yuqian Huang, Zhijun Yang
article en
2 citations

Abstract

CT-based DL radiomics provides a reliable non-invasive method for preoperative TIME evaluation, enabling personalized immunotherapy strategies in CRC management.

World Journal of Gastrointestinal OncologyVol. 17(5)
Gansu Provincial Hospital (CN)
Openalex Percentile: Top 11%
Radiomics and Machine Learning in Medical Imaging
2.72
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