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Xiaomei Wu

Sun Yat-sen University (SYSU) - The Sixth Affiliated Hospital

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Artificial Intelligence-Assisted Analysis of Tumor Growth Pattern, Tumor-Infiltrating Lymphocytes, And Survival from Colorectal Cancer

Number of pages: 23 Posted: 20 Jul 2022
Yunrui Ye, Xiaomei Wu, Huihui Wang, Huifen Ye, Ke Zhao, Yajun Li, Minning Zhao, Qingru Hu, Xueli Zhang, Su Yao, Xin Chen, Changhong Liang, Zaiyi Liu, Xinjuan Fan, Qingling Zhang and Yanqi Huang
Guangdong Academy of Medical Sciences - Department of Radiology, Sun Yat-sen University (SYSU) - The Sixth Affiliated Hospital, Guangzhou Panyu Central Hospital, Guangdong Academy of Medical Sciences - Department of Radiology, Southern Medical University - Department of Radiology, Guangdong Academy of Medical Sciences - Department of Radiology, Guangdong Academy of Medical Sciences - Department of Radiology, Guangdong Academy of Medical Sciences - Department of Radiology, Guangdong Academy of Medical Sciences - Department of Ophthalmology, Guangdong Academy of Medical Sciences - Guangdong Provincial People's Hospital, South China University of Technology - Department of Radiology, Guangdong Academy of Medical Sciences - Department of Radiology, Guangdong Academy of Medical Sciences - Department of Radiology, Sun Yat-sen University (SYSU) - Department of Pathology, Guangdong Academy of Medical Sciences - Guangdong Provincial People's Hospital and Guangdong Academy of Medical Sciences - Department of Radiology
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Colorectal cancer, deep learning, Whole-slide images, Tumor growth pattern, Tumor-infiltrating lymphocytes