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Development of a deep learning-based nomogram for predicting lymph node metastasis in cervical cancer: A multicenter study

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收录情况: ◇ SCIE

机构: [1]Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing, Peoples R China [2]Chinese Acad Sci, Inst Automat, CAS Key Lab Mol Imaging, State Key Lab Management & Control Complex Syst, Beijing, Peoples R China [3]Southern Med Univ, Nanfang Hosp, Dept Obstet & Gynecol, 1838,Guangzhou Ave, Guangzhou 510515, Peoples R China [4]Beijing Key Lab Mol Imaging, Beijing, Peoples R China [5]Huizhou Municipal Cent Hosp, Huizhou, Peoples R China [6]Qingdao Univ, Affiliated Hosp, Qingdao, Peoples R China [7]Fourth Hosp Hebei Med Univ, Dept Gynecol, Shijiazhuang, Hebei, Peoples R China [8]Jiangmen Cent Hosp, Jiangmen, Peoples R China [9]Yantai Yuhuangding Hosp, Dept Gynecol, Yantai, Peoples R China [10]Beihang Univ, Beijing Adv Innovat Ctr Big Data Based Precis Med, Sch Engn Med, Beijing 100191, Peoples R China [11]Jinan Univ, Zhuhai Peoples Hosp, Zhuhai Precis Med Ctr, Jinan, Peoples R China
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基金编号: XDB 38040200 2017YFA0205200 82022036 91959130 81971776 81771924 62027901 81930053 81227901 Z20J00105 GJJSTD20170004 QYZDJ-SSW-JSC005 HLHPTP201703 Y2021049

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出版当年[2022]版:
大类 | 2 区 医学
小类 | 2 区 医学:研究与实验 3 区 肿瘤学
最新[2025]版:
大类 | 2 区 医学
小类 | 2 区 医学:研究与实验 2 区 肿瘤学
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出版当年[2022]版:
Q1 MEDICINE, RESEARCH & EXPERIMENTAL Q1 ONCOLOGY
最新[2023]版:
Q1 MEDICINE, RESEARCH & EXPERIMENTAL Q1 ONCOLOGY

影响因子: 最新[2023版] 最新五年平均 出版当年[2022版] 出版当年五年平均 出版前一年[2021版] 出版后一年[2023版]

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第一作者机构: [1]Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing, Peoples R China [2]Chinese Acad Sci, Inst Automat, CAS Key Lab Mol Imaging, State Key Lab Management & Control Complex Syst, Beijing, Peoples R China
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通讯机构: [2]Chinese Acad Sci, Inst Automat, CAS Key Lab Mol Imaging, State Key Lab Management & Control Complex Syst, Beijing, Peoples R China [3]Southern Med Univ, Nanfang Hosp, Dept Obstet & Gynecol, 1838,Guangzhou Ave, Guangzhou 510515, Peoples R China [4]Beijing Key Lab Mol Imaging, Beijing, Peoples R China [10]Beihang Univ, Beijing Adv Innovat Ctr Big Data Based Precis Med, Sch Engn Med, Beijing 100191, Peoples R China [11]Jinan Univ, Zhuhai Peoples Hosp, Zhuhai Precis Med Ctr, Jinan, Peoples R China [*1]Department of Obstetrics and Gynecology, Nanfang Hospital, Southern Medical University, No. 1838, Guangzhou Avenue, Guangzhou 510515, China. [*2]Beijing Advanced Innovation Centre for Big Data-Based Precision Medicine, School of Engineering Medicine, Beihang University, Beijing, 100191, China.
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