Predicting lymph node metastasis in colorectal cancer using case-level multiple instance learning

A case-level MIL framework provides a superior approach for predicting LNM in advanced CRC. This method shows promise for risk stratification and therapy decisions, requiring further validation.

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Publication Details

Journal
World Journal of Gastroenterology
Published
2026-01-04
DOI
https://doi.org/10.3748/wjg.v32.i1.112090
Primary Topic
AI in cancer detection
Type
article
Field-Weighted Citation Impact
0.00
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article

Predicting lymph node metastasis in colorectal cancer using case-level multiple instance learning

Lingfeng Zou, Xuan-Bing Wang, Cheng-Long Wang, Xin Ouyang et al.
World Journal of Gastroenterology
AI in cancer detection
article

Predicting lymph node metastasis in colorectal cancer using case-level multiple instance learning

Lingfeng Zou, Xuan-Bing Wang, Cheng-Long Wang, Xin Ouyang, Yan Luo, Yi-Ying Luo, Jing-Wen Li
article en

Abstract

A case-level MIL framework provides a superior approach for predicting LNM in advanced CRC. This method shows promise for risk stratification and therapy decisions, requiring further validation.

World Journal of GastroenterologyVol. 32(1)
Chongqing Jiulongpo People's Hospital (CN), First People's Hospital of Chongqing (CN), Chongqing Dazu District People's Hospital (CN), Chongqing Medical University (CN)
Openalex Percentile: Top 97%
AI in cancer detection
DOIOpen Access PDFOpenAlex
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