机构:[1]Research Center, The Seventh Affiliated Hospital of Sun Yat-sen University, Shenzhen 518107, China深圳医学信息中心中国医学科学院阜外医院深圳医院[2]Department of Pathology, The First Affiliated Hospital of Gannan Medical University, Ganzhou 341000, China[3]Department of Respiratory Diseases, Central Medical Branch of PLA General Hospital, Beijing 100081, China[4]Shenzhen Key Laboratory of Chinese Medicine Active substance screening and Translational Research, Shenzhen 518107, China[5]Guangdong Provincial Key Laboratory of Brain Function and Disease, Guangzhou 510080, China[6]School of Life Sciences, Faculty of Science, University of Technology Sydney, Ultimo, NSW 2007, Australia
This work was supported by grants from the National Natural Science
Foundation of China (81971309 and 32170980), Guangdong Basic and
Applied Basic Research Foundation (2022B1515020012), and Shenzhen
Fundamental Research Program (JCYJ20210324123212035,
RCYX20200714114644167, and ZDSYS20220606100801003).
第一作者机构:[1]Research Center, The Seventh Affiliated Hospital of Sun Yat-sen University, Shenzhen 518107, China
共同第一作者:
通讯作者:
通讯机构:[1]Research Center, The Seventh Affiliated Hospital of Sun Yat-sen University, Shenzhen 518107, China[2]Department of Pathology, The First Affiliated Hospital of Gannan Medical University, Ganzhou 341000, China[4]Shenzhen Key Laboratory of Chinese Medicine Active substance screening and Translational Research, Shenzhen 518107, China[5]Guangdong Provincial Key Laboratory of Brain Function and Disease, Guangzhou 510080, China[*1]Research Center, The Seventh Affiliated Hospital of Sun Yat-sen University, Shenzhen 518107, China.[*2]No. 128, Jinling Road, Ganzhou, Jiangxi 341000, China.
推荐引用方式(GB/T 7714):
Ning Xinjie,Liu Ruide,Wang Nan,et al.Development of a deep learning-based model to diagnose mixed-type gastric cancer accurately[J].INTERNATIONAL JOURNAL OF BIOCHEMISTRY & CELL BIOLOGY.2023,162:doi:10.1016/j.biocel.2023.106452.
APA:
Ning Xinjie,Liu Ruide,Wang Nan,Xiao Xuewen,Wu Siqi...&Chen Hui.(2023).Development of a deep learning-based model to diagnose mixed-type gastric cancer accurately.INTERNATIONAL JOURNAL OF BIOCHEMISTRY & CELL BIOLOGY,162,
MLA:
Ning Xinjie,et al."Development of a deep learning-based model to diagnose mixed-type gastric cancer accurately".INTERNATIONAL JOURNAL OF BIOCHEMISTRY & CELL BIOLOGY 162.(2023)