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
  • [41] Machine learning-based analysis of CT radiomics model for prediction of colorectal metachronous liver metastases
    Marjaneh Taghavi
    Stefano Trebeschi
    Rita Simões
    David B. Meek
    Rianne C. J. Beckers
    Doenja M. J. Lambregts
    Cornelis Verhoef
    Janneke B. Houwers
    Uulke A. van der Heide
    Regina G. H. Beets-Tan
    Monique Maas
    Abdominal Radiology, 2021, 46 : 249 - 256
  • [42] A machine learning model based on clinical features and ultrasound radiomics features for pancreatic tumor classification
    Yao, Shunhan
    Yao, Dunwei
    Huang, Yuanxiang
    Qin, Shanyu
    Chen, Qingfeng
    FRONTIERS IN ENDOCRINOLOGY, 2024, 15
  • [43] Machine learning-based radiomics for amyotrophic lateral sclerosis diagnosis
    Tafuri, Benedetta
    Milella, Giammarco
    Filardi, Marco
    Giugno, Alessia
    Zoccolella, Stefano
    Tamburrino, Ludovica
    Gnoni, Valentina
    Urso, Daniele
    De Blasi, Roberto
    Nigro, Salvatore
    Logroscino, Giancarlo
    EXPERT SYSTEMS WITH APPLICATIONS, 2024, 240
  • [44] Comparative analysis of machine learning-based ultrasound radiomics in predicting malignancy of partially cystic thyroid nodules
    Zhou, Tianhan
    Hu, Tao
    Ni, Zhongkai
    Yao, Chun
    Xie, Yangyang
    Jin, Haimin
    Luo, Dingcun
    Huang, Hai
    ENDOCRINE, 2024, 83 (01) : 118 - 126
  • [45] Comparative analysis of machine learning-based ultrasound radiomics in predicting malignancy of partially cystic thyroid nodules
    Tianhan Zhou
    Tao Hu
    Zhongkai Ni
    Chun Yao
    Yangyang Xie
    Haimin Jin
    Dingcun Luo
    Hai Huang
    Endocrine, 2024, 83 : 118 - 126
  • [46] Comment on "Predicting the risk stratification of gastrointestinal stromal tumors using machine learning-based ultrasound radiomics"
    Ando, Yuya
    Yoshioka, Takashi
    Narimatsu, Kazuyuki
    JOURNAL OF MEDICAL ULTRASONICS, 2024, 51 (02) : 375 - 375
  • [47] Comment on “Predicting the risk stratification of gastrointestinal stromal tumors using machine learning-based ultrasound radiomics”
    Yuya Ando
    Takashi Yoshioka
    Kazuyuki Narimatsu
    Journal of Medical Ultrasonics, 2024, 51 : 375 - 375
  • [48] Comparison Study of Radiomics and Deep Learning-Based Methods for Thyroid Nodules Classification Using Ultrasound Images
    Wang, Yongfeng
    Yue, Wenwen
    Li, Xiaolong
    Liu, Shuyu
    Guo, Lehang
    Xu, Huixiong
    Zhang, Heye
    Yang, Guang
    IEEE ACCESS, 2020, 8 (08): : 52010 - 52017
  • [49] Machine Learning-Based Classification of Abnormal Liver Tissues Using Relative Permittivity
    Samaddar, Poulami
    Mishra, Anup Kumar
    Gaddam, Sunil
    Singh, Mansunderbir
    Modi, Vaishnavi K.
    Gopalakrishnan, Keerthy
    Bayer, Rachel L.
    Sa, Ivone Cristina Igreja
    Khanal, Shalil
    Hirsova, Petra
    Kostallari, Enis
    Dey, Shuvashis
    Mitra, Dipankar
    Roy, Sayan
    Arunachalam, Shivaram P.
    SENSORS, 2022, 22 (24)
  • [50] Incremental value of machine learning-based radiomics for preoperative discrimination between malignant and benign small renal masses
    Wang, Z. J.
    EUROPEAN UROLOGY, 2024, 85 : S1328 - S1328