情報科学研究科修士課程に在学中のCHEN Entaoさんが、The 12th International Conference on Behavioural and Social Computing (BESC 2025)でBest Paper in Special Sessionを受賞しました。

受賞情報

受賞者

Entao Chen (情報科学研究科 情報科学専攻 修士課程 2年)

学会名

The 12th International Conference on Behavioural and Social Computing (BESC 2025)

開催日

2025年10月16日～18日

開催場所

The 12th Internati The Education University of Hong Kong, Hong Kong, China

受賞日

2025年10月18日

受賞名

Best Paper in Special Session

受賞論文名

Analysis of Tongue Image Data Augmentation and Classification Methods based on Multi-Attribute Features

共著者

• Runhe Huang (情報科学部・情報科学研究科 教授)
• Chunyu Tu
• Zhiyong Yu
• Kaixin Du

Abstract—Tongue diagnosis serves as a cornerstone of Traditional Chinese Medicine (TCM), where pathological changes in internal organs can be inferred through systematic analysis of regional tongue features. Recent advances in computer vision have enabled quantitative health assessment through automated tongue image analysis. However, critical challenges persist in clinical implementation, particularly regarding inconsistent imaging conditions (e.g., illumination direction, intensity variations, and device heterogeneity), which significantly compromise diagnostic reliability. This study presents a comprehensive computational framework for robust tongue image analysis, addressing two fundamental aspects: (1) imaging standardization and (2) clinically interpretable feature extraction.