Pinzhu Huang

Sun Yat-sen University (SYSU)

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Artificial Intelligence-Based Algorithm for Pathological Response Assessment to Neoadjuvant Chemoradiotherapy in Locally Advanced Rectal Cancer: A Multi-Center Derived Platform Can Shrink a Mountainous Task into a Molehill

Number of pages: 50 Posted: 19 Feb 2025
Fujin Ye, Mian Chen, Chao Wang, Minyi He, Zhiming Gui, Zhengyang An, Pinzhu Huang, Junguo Chen, Yanhong Zhang, Yunxing Shi, Taixuan Wan, Shuangling Luo, Xiaobin Zheng, Wenxin Li, Huashan Liu, Zhanzhen Liu, Liang Kang and Liang Huang
Sun Yat-sen University (SYSU), Wuhan Union Hospital, Sun Yat-sen University (SYSU) - Department of Pathology, Sun Yat-sen University (SYSU), Beijing University of Technology, Beijing University of Technology, Sun Yat-sen University (SYSU), Sun Yat-sen University (SYSU) - Department of Colorectal Surgery, Sun Yat-sen University (SYSU), Sun Yat-sen University (SYSU), Sun Yat-sen University (SYSU), Sun Yat-sen University (SYSU), Sun Yat-sen University (SYSU), Sun Yat-sen University (SYSU), Sun Yat-sen University (SYSU), Sun Yat-sen University (SYSU), Sun Yat-sen University (SYSU) and Sun Yat-sen University (SYSU)
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Aritificial intelligence, feature fusion, WSIs, pathological response assessment, neoadjuvant chemoradiotherapy, locally advanced rectal cancer