Ensemble learning for predicting microsatellite instability in colorectal cancer using pretreatment colonoscopy images and clinical data

The proposed ensemble learning framework provides a non-invasive, interpretable, and accurate method for MSI prediction, offering potential to improve preoperative precision diagnostics and clinical decision-making in colorectal cancer.

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Publication Details

Journal
Frontiers in Oncology
Published
2026-01-02
DOI
https://doi.org/10.3389/fonc.2025.1734076
Citations
2
Primary Topic
Colorectal Cancer Screening and Detection
Type
article
Field-Weighted Citation Impact
48.39

Funders

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article

Ensemble learning for predicting microsatellite instability in colorectal cancer using pretreatment colonoscopy images and clinical data

Y J Chen, Bin Jiang, Shenghan Zhang, Jianjie Zhang et al.
2 citations
Frontiers in Oncology
Colorectal Cancer Screening and Detection
48.39
article

Ensemble learning for predicting microsatellite instability in colorectal cancer using pretreatment colonoscopy images and clinical data

Y J Chen, Bin Jiang, Shenghan Zhang, Jianjie Zhang, Jia You, Mengmeng Zhang, Chungen Zhou
article en
2 citations

Abstract

The proposed ensemble learning framework provides a non-invasive, interpretable, and accurate method for MSI prediction, offering potential to improve preoperative precision diagnostics and clinical decision-making in colorectal cancer.

Frontiers in OncologyVol. 15
Nanjing University of Chinese Medicine (CN), Harvard University (US)
Government of Jiangsu Province, Nanjing University of Chinese Medicine, Nanjing University
Openalex Percentile: Top 0%
Colorectal Cancer Screening and Detection
48.39
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