Authors' Reply “ <scp>SegORG</scp> : Report Generation of Oral Potentially Malignant Disorders Image Based on Lesion Segmentation‐Enhanced <scp>LLM</scp> ”

The data that support the findings of this study are available on request from the corresponding author. The data are not publicly available due to privacy or ethical restrictions.

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Publication Details

Journal
Oral Diseases
Published
2026-03-11
DOI
https://doi.org/10.1111/odi.70285
Primary Topic
Cutaneous Melanoma Detection and Management
Type
article
Field-Weighted Citation Impact
0.00
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article

Authors' Reply “ SegORG : Report Generation of Oral Potentially Malignant Disorders Image Based on Lesion Segmentation‐Enhanced LLM ”

Yuqi Cao, Yijia Chen, Qingyan Chen, Fudong Zhu et al.
Oral Diseases
Cutaneous Melanoma Detection and Management
article

Authors' Reply “ SegORG : Report Generation of Oral Potentially Malignant Disorders Image Based on Lesion Segmentation‐Enhanced LLM ”

Yuqi Cao, Yijia Chen, Qingyan Chen, Fudong Zhu, Xiaoyan Chen, Tingting Ding, Xiang Tian, Peng Huang, Rui Zhang, Wei Chen
article en

Abstract

The data that support the findings of this study are available on request from the corresponding author. The data are not publicly available due to privacy or ethical restrictions.

Oral Diseases
Wenzhou University (CN), Zhejiang University Medical College Affiliated Stomatological Hospital (CN), Stomatology Hospital (CN), Zhejiang University of Technology (CN)
Gender equality
Openalex Percentile: Top 25%
Cutaneous Melanoma Detection and Management
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