A foundation model-based multi-instance learning framework for accurate prediction of lymph node metastasis in prostate cancer from whole slide images

This AI-MIL framework accurately predicts nodal involvement in PCa and provides biologically interpretable insights, supporting its potential as a precision oncology tool for risk stratification and treatment planning.

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Publication Details

Journal
Frontiers in Oncology
Published
2026-03-04
DOI
https://doi.org/10.3389/fonc.2026.1775750
Primary Topic
Prostate Cancer Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
0.00
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article

A foundation model-based multi-instance learning framework for accurate prediction of lymph node metastasis in prostate cancer from whole slide images

Ran Du, Haonan Mei, Guang Zeng, Weiwei Li
Frontiers in Oncology
Prostate Cancer Diagnosis and Treatment
article

A foundation model-based multi-instance learning framework for accurate prediction of lymph node metastasis in prostate cancer from whole slide images

Ran Du, Haonan Mei, Guang Zeng, Weiwei Li
article en

Abstract

This AI-MIL framework accurately predicts nodal involvement in PCa and provides biologically interpretable insights, supporting its potential as a precision oncology tool for risk stratification and treatment planning.

Frontiers in OncologyVol. 16
NetApp (United States) (US), Wuhan University (CN), The Central Hospital of Enshi Tujia and Miao Autonomous Prefecture (CN)
Openalex Percentile: Top 34%
Prostate Cancer Diagnosis and Treatment
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