Deep Learning-Driven Pathological Prediction of Lymph Node Metastasis in Patients with Head and Neck Squamous Cell Carcinoma Using Primary Whole Slide Images

This deep learning-driven pathology nomogram provides a robust and clinically applicable tool for preoperative prediction of cervical lymph node metastasis in HNSCC.

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Publication Details

Journal
Cancers
Published
2026-03-13
DOI
https://doi.org/10.3390/cancers18060933
Primary Topic
Head and Neck Cancer Studies
Type
article
Field-Weighted Citation Impact
0.00

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article

Deep Learning-Driven Pathological Prediction of Lymph Node Metastasis in Patients with Head and Neck Squamous Cell Carcinoma Using Primary Whole Slide Images

Jiangtao Zhong, Hengchao Chen, Zhe Chen, Yajun Yu et al.
Cancers
Head and Neck Cancer Studies
article

Deep Learning-Driven Pathological Prediction of Lymph Node Metastasis in Patients with Head and Neck Squamous Cell Carcinoma Using Primary Whole Slide Images

Jiangtao Zhong, Hengchao Chen, Zhe Chen, Yajun Yu, Shuihong Zhou, Zaizai Cao, Jingyao Chen, Ziming Fu, Zuning Shi
article en

Abstract

This deep learning-driven pathology nomogram provides a robust and clinically applicable tool for preoperative prediction of cervical lymph node metastasis in HNSCC.

CancersVol. 18(6)
Zhejiang A & F University (CN), First Affiliated Hospital Zhejiang University (CN)
Zhejiang University
Peace, Justice and strong institutions, Reduced inequalities
Openalex Percentile: Top 21%
Head and Neck Cancer Studies
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