A Vision-Language–Guided Multimodal Fusion Network for Glottic Carcinoma Early Diagnosis: Model Development and Validation Study

The proposed VLMF-Net model can be effectively used for the early diagnosis of GC, helping to address the challenges in its early detection.

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Publication Details

Journal
JMIR Medical Informatics
Published
2025-10-08
DOI
https://doi.org/10.2196/74902
Primary Topic
Head and Neck Cancer Studies
Type
article
Field-Weighted Citation Impact
0.00
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article

A Vision-Language–Guided Multimodal Fusion Network for Glottic Carcinoma Early Diagnosis: Model Development and Validation Study

Wenbin Lei, Yumeng Liu, Xiaomao Fan, M. L. Chen et al.
JMIR Medical Informatics
Head and Neck Cancer Studies
article

A Vision-Language–Guided Multimodal Fusion Network for Glottic Carcinoma Early Diagnosis: Model Development and Validation Study

Wenbin Lei, Yumeng Liu, Xiaomao Fan, M. L. Chen, Jin Zhao-hui, Yun Li, Yi Shuai
article en

Abstract

The proposed VLMF-Net model can be effectively used for the early diagnosis of GC, helping to address the challenges in its early detection.

JMIR Medical InformaticsVol. 13
Sun Yat-sen University (CN), The First Affiliated Hospital, Sun Yat-sen University (CN), Shenzhen Technology University (CN)
Openalex Percentile: Top 62%
Head and Neck Cancer Studies
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A Vision-Language–Guided Multimodal Fusion Network for Glottic Carcinoma Early Diagnosis: Model Development and Validation Study — Wenbin Lei, Yumeng Liu, et al. · JMIR Medical Informatics (2025) | TGRS Research Map | TGRS