Preoperative classification of primary and metastatic liver cancer via machine learning-based ultrasound radiomics

被引:2
|
作者
Bing Mao
Jingdong Ma
Shaobo Duan
Yuwei Xia
Yaru Tao
Lianzhong Zhang
机构
[1] Henan Provincial People’s Hospital,School of Medicine and Health Management
[2] Zhengzhou University People’s Hospital,undefined
[3] Henan University People’s Hospital,undefined
[4] Huazhong University of Science and Technology,undefined
[5] Huiying Medical Technology (Beijing) Co.,undefined
[6] Ltd,undefined
[7] Zhengzhou University,undefined
来源
European Radiology | 2021年 / 31卷
关键词
Ultrasonography; Machine learning; Liver neoplasms; Radiomics;
D O I
暂无
中图分类号
学科分类号
摘要
引用
收藏
页码:4576 / 4586
页数:10
相关论文
共 50 条
  • [21] Machine learning and radiomics for segmentation and classification of adnexal masses on ultrasound
    Jennifer F. Barcroft
    Kristofer Linton-Reid
    Chiara Landolfo
    Maya Al-Memar
    Nina Parker
    Chris Kyriacou
    Maria Munaretto
    Martina Fantauzzi
    Nina Cooper
    Joseph Yazbek
    Nishat Bharwani
    Sa Ra Lee
    Ju Hee Kim
    Dirk Timmerman
    Joram Posma
    Luca Savelli
    Srdjan Saso
    Eric O. Aboagye
    Tom Bourne
    npj Precision Oncology, 8
  • [22] Preoperative prediction for pathological grade of hepatocellular carcinoma via machine learning–based radiomics
    Bing Mao
    Lianzhong Zhang
    Peigang Ning
    Feng Ding
    Fatian Wu
    Gary Lu
    Yayuan Geng
    Jingdong Ma
    European Radiology, 2020, 30 : 6924 - 6932
  • [23] Machine learning-based CT radiomics model to discriminate the primary and secondary intracranial hemorrhage
    Lyu, Jianbo
    Xu, Zhaohui
    Sun, HaiYan
    Zhai, Fangbing
    Qu, Xiaofeng
    SCIENTIFIC REPORTS, 2023, 13 (01)
  • [24] Machine learning-based CT radiomics model to discriminate the primary and secondary intracranial hemorrhage
    Jianbo Lyu
    Zhaohui Xu
    HaiYan Sun
    Fangbing Zhai
    Xiaofeng Qu
    Scientific Reports, 13
  • [25] Machine Learning-Based Radiomics for Molecular Subtyping of Gliomas
    Lu, Chia-Feng
    Hsu, Fei-Ting
    Hsieh, Kevin Li-Chun
    Kao, Yu-Chieh Jill
    Cheng, Sho-Jen
    Hsu, Justin Bo-Kai
    Tsai, Ping-Huei
    Chen, Ray-Jade
    Huang, Chao-Ching
    Yen, Yun
    Chen, Cheng-Yu
    CLINICAL CANCER RESEARCH, 2018, 24 (18) : 4429 - 4436
  • [26] Predicting the risk stratification of gastrointestinal stromal tumors using machine learning-based ultrasound radiomics
    Zhuo, Minling
    Tang, Yi
    Guo, Jingjing
    Qian, Qingfu
    Xue, Ensheng
    Chen, Zhikui
    JOURNAL OF MEDICAL ULTRASONICS, 2024, 51 (01) : 71 - 82
  • [27] Predicting the risk stratification of gastrointestinal stromal tumors using machine learning-based ultrasound radiomics
    Minling Zhuo
    Yi Tang
    Jingjing Guo
    Qingfu Qian
    Ensheng Xue
    Zhikui Chen
    Journal of Medical Ultrasonics, 2024, 51 : 71 - 82
  • [28] Machine learning-based classification of mitochondrial morphology in primary neurons and brain
    Garrett M. Fogo
    Anthony R. Anzell
    Kathleen J. Maheras
    Sarita Raghunayakula
    Joseph M. Wider
    Katlynn J. Emaus
    Timothy D. Bryson
    Melissa J. Bukowski
    Robert W. Neumar
    Karin Przyklenk
    Thomas H. Sanderson
    Scientific Reports, 11
  • [29] Machine learning-based classification of mitochondrial morphology in primary neurons and brain
    Fogo, Garrett M.
    Anzell, Anthony R.
    Maheras, Kathleen J.
    Raghunayakula, Sarita
    Wider, Joseph M.
    Emaus, Katlynn J.
    Bryson, Timothy D.
    Bukowski, Melissa J.
    Neumar, Robert W.
    Przyklenk, Karin
    Sanderson, Thomas H.
    SCIENTIFIC REPORTS, 2021, 11 (01)
  • [30] Machine Learning-Based Classification of Academic Performance via Imaging Sensors
    Lin, Yongzheng
    Liu, Hong
    Chen, Zhenxiang
    Ma, Kun
    IEEE SENSORS JOURNAL, 2021, 21 (22) : 24952 - 24958